Total 61 Senior Executive Data Entry Clerk job vacancies in The United States of America

An exciting new opportunity for a Senior Research Data Clerk to work in hearing research has arisen. This is a temporary role to the 30th November 2024 but may be extended subject to funding.

You will be a valued member of the busy NIHR Biomedical Research Centre hearing theme working closely with the research delivery team and external stakeholders to contribute to and oversee data collation and data management.

This is a great opportunity for an individual to join an exciting and innovative research department. The post holder must have excellent communication and time management skills and be able to organise their own and workload within research time frames.

The function of a senior data clerk is to oversee and interpret complex commercial and non-commercial data management, and enter accurate data onto remote data entry systems into pre-formatted report forms and databases.

With over 20,000 staff, we are one of the biggest employers in the city with a central role in supporting the health and wellbeing of our local population. We play a leading role in research, education and innovation.

Come and join our wonderful team at NUH. We are big believers in diversity and welcome new ideas to help develop our team in order to deliver world class healthcare to the vast patient populations we serve. With endless personal development opportunities available, at NUH we will endeavour to turn your job into a career!

We particularly welcome applications from people who identify as Black, Asian and Minority Ethnic, or Disabled, as we are striving to be better represented at NUH.

Communication

To have high levels of verbal and written communication with internal and external stakeholders in order to respond to complex queries and meet contractual obligations.

To appropriately signpost trial patients contacting the department to relevant healthcare professionals.

Communicate effectively with the members of the clinical research team, patients and relatives, outside agencies and the wider Multi-Professional Team as appropriate.

Act professionally to ensure that confidentiality of all information pertaining to patients and trials is maintained at all times.

Clinical Trials Administration

To be a point of contact with Sponsors for data related activity including management of onsite and virtual monitoring visits and review of site file maintenance. Have a responsibility for a wide range of cross specialty trials which vary to each specific protocol.

The post holder will receive and check documentation, access hospital patient information systems, confirm source data and resolve queries in a timely manner. To liaise with the trial caseholder to ensure data integrity prior to submission and data lock.

To liaise with and manage organising visits from external trial monitors, including obtaining patient records, scan results etc. in liaison with the research team.

To respond to data queries in a timely manner and escalate to trial case holders and principal investigators when necessary.

To review trial data information requirements prior to trial start up and attend other appropriate trial related meetings. Ensure that site files are accurately compiled and complete prior to greenlight initiation.

To assist research team members in the appropriate management and coordination of identified clinical trials.

Ensure the implementation and maintenance of clinical research, including maintenance of delegation logs and spreadsheets as appropriate.

To have a good knowledge of all clinical trials taking place in the research team, both those to which patients are currently being recruited (open) and those, which are no longer recruiting patients (closed and in follow up).

Adhere to codes of practice covering confidentiality, data protection and ICH-GCP.

Data Collection

To review patient data from medical and nursing records and perform accurate completion of complex electronic case reports forms working to ICH GCP and research governance guidelines.

To be responsible for additional clinical trial data from other departments and external organisations.

To liaise with the research team, medical staff and the wider MDT to obtain timely source data. according to trial protocols.

To use electronic databases to search for, access and retrieve published scientific literature and publicly accessible datasets.

General Office Administration

To undertake general office work and any other appropriate duties assigned by the research team leader

To undertake any other duties deemed appropriate for the role.

Participate and organise departmental research meetings as appropriate.

Take an active role in self-development, objectively reviewing own performance, identifying own needs and taking steps to meet those needs. Keep abreast of potential developments.

Have high levels of competence in the use of electronic hospital systems.

Manage the filing of data related activity - ensuring documents are correctly filed in patient records and in investigator site files


This advert closes on Sunday 28 Apr 2024

Working Location: Central

Working hours: 10am to 6pm (Monday to Friday)

Your role:

• Support marketing executives in organizing various projects
• Conduct market research and analysis on the industry
• Employ marketing analytics techniques to gather important data (social media, web analytics, rankings etc.)
• Assist in the organizing and facilitating of digital campaigns
• Prepare and deliver promotional presentations
• Compose, write marketing literature and post online content on the company’s website and social media accounts
• Network with suppliers, partner organizations, large contractors and other industry professionals
• Develop one-on-one relationships with consumers and identify needs
• Work with in-house designer to ensure design and production of flyers, brochures, posters, banners, and other print materials used for the events are carried out accurately

Requirements

• Minimum Diploma and above
• Able to work independently
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R21100629

EA License Number: 22C1278

Please see attached Job Description and Person Specification for full details of the role and responsibilities.

Alfred Health
Alfred Health is a leader in health care delivery, improvement, research and education. We are the main provider of health services to people living in the inner southeast suburbs of Melbourne, from ambulatory to inpatient and home and community-based services.

Ongoing
Full Time (80 hours per fortnight)
Administrative Officer Grade 2 - YC89
Alfred Health
Great staff benefits!

The Role
In this position, you will play a pivotal part in Alfred Healths plan to improve the support, supervision and development of Ward Clerks across the health service. You will work closely with the Operational nurse manager on first floor psychiatry, as well as the Manager, ward clerks to establish and implement Ward Clerk training programs, improve the quality and consistency of patient administration data, and provide a central mentoring and escalation resource. To be suitable for this role, ... Click here to view more detail / apply for Senior Ward Clerk ? Psychiatry

For full details of the duties and criteria for the role please refer to the job description and person specification attached. The post holder can understand and guide teams to apply a range of methods. Be responsible for ensuring the quality of data in the work we produce and ensuring we are compliant with IG rules. This is a very varied role and as a team we all pitch in to do what's needed, using our Dev Ops system to track work and ensure incoming requests are logged on the system to ensure flow. Working as an analytical lead within multi-disciplinary teams alongside colleagues from across Data & Insights, the role holder will advise on the choice and application of techniques, and can critique colleagues findings to assure best practice, ensuring that data are handled in an efficient and secure way in line with information governance legislation. This post will comply with all regulatory requirements in such areas as data quality and data security, within an environment that is committed to the proper governance and secure use of data. Essential criteria Education to a master's degree level in a numerate discipline, or an equivalent level of knowledge/experience Experience of Stakeholder management and conflict resolution Experience of line-managing teams of analytical professions and support their development Strong requirement gathering skills, use of analytical techniques and explanation and interpretation of data Be able to bring your expertise to subject matter areas and portfolios Able to lead and develop the team, self-manage and prioritise workloads for yourself and others Self-motivated, self-aware and proactive. The applicant must also have the Ability/willingness to meet the travel requirements of the post. Please be advised NHS Jobs Service will not be available 6pm on Friday 26 April to 9am on Monday 29 April 2024 Do not attempt to use the service at these times and consider this for your application submission. Interview date:17th May 2024

Job title: Senior Data Engineer
Role type: Ongoing, full time
Location: Sydney, Australia
Domain: Data



About the role:

As a Senior Data Engineer at Mantel Group, you will join a group of highly engaged technicians. You will work with us to design and build technology solutions. The work we do is broad but always focused on delivering the best outcome for our clients. Your work might range from building a full data platform with data pipelines and data warehouses; building scalable web applications on AWS; or implementing an observability stack on-premise.

The perfect candidate for this role is able to solve complex, loosely scoped problems, and work towards a good solution for the client. You have a wide breadth of technological understanding as well as the ability to go deep as needed.

Here a snapshot of what you’ll be doing:

? Solve complex, loosely scoped problems
? Provide technical leadership on one or more projects
? Actively code and manage technical quality for products, services and platforms
? Keep a keen focus on maintainability, security, and reliability
? Work with clients to understand their requirements, explain trade-offs for different options and ensure you deliver a solution that they value and will use
? Mentor and supervise junior engineers
? Work in different modes including independent technical delivery and as part of a team with others such as designers and analysts
? Help shape the technology strategy for companies of various sizes

You will thrive in this role if you:
? Have previously worked on medium to large scale software projects
? Have experience in at least one maintainable programming language: Typescript, Python, Java, Rust, etc
? Have an understanding of modern cloud-native development tools, e.g. AWS/GCP/Azure, Linux/BSD, Databases, CI/CD, Load Balancers, APIs, etc
? Understand how consulting engagements work
? Have an understanding of project accounting and consulting economics
? Passionate about the data space and have a continuous learning mindset
? Can collaborate effectively, not just with your immediate team, but with other people
? Have the ability to explain technical concepts regardless of the audience
? Don’t shy away from accountability, and actively seek ownership of problems
? Focus on compassion and empathy in your interactions with others

This job description isn’t rigid. We are still growing our engineering capability, and you will be able to help influence the company in areas where it interests you. And if you don’t meet all of these requirements, we recommend you apply anyway. This list is not exclusive and we value what you can bring to the table.

We value diversity in our people and the ideas they bring to our team. We look after our team and pride ourselves on our supportive and friendly culture. We’re looking for people who identify with our values whilst also bringing their own individual perspective on their work, choosing your own adventure in how you help us support our clients.

Senior Analyst Data Engineering







Date:  27 Mar 2024







Location:  Perth, AU









Monday to Friday | Perth
Performance, Retention and Profit Share Bonuses
Free onsite parking at the Remote Operational Centre (ROC)
18 weeks paid Parental Leave for primary caregivers
  About the role: The Technology Operations team is looking for a Senior Analyst Data Engineering to join them on a 5:2 roster in Perth. You will report to the Superintendent Data & Integration Platforms, and you will be accountable for designing, developing and implementing data pipelines and processes that enable the smooth and dependable flow of data according to Roy




... Click here to view more detail / apply for Senior Analyst Data Engineering

About us:

Mantel Group is an Australian-owned technology consulting business with capabilities across Cloud, Digital, Data & Security. Since our inception in November 2017, we have experienced remarkable growth across Australia & New Zealand and are honoured to be recognised as a Great Place to Work for 4 years in a row!

We hire smart and talented people and get out of their way. As a principle-based organisation we have a flat structure with no hierarchy. By focusing on our five principles and not getting caught up in red tape, we trust you to get the job done!

About the role:

As a Senior Data Engineer, you will join a group of highly engaged technicians. You will work with us to design and build technology solutions. The work we do is broad but always focused on delivering the best outcome for our clients. Your work might range from building a full data platform with data pipelines and data warehouses; building scalable web applications on AWS; or implementing an observability stack on-premise.

The perfect candidate for this role is able to solve complex, loosely scoped problems, and work towards a good solution for the client. You have a wide breadth of technological understanding as well as the ability to go deep as needed.

Here a snapshot of what you’ll be doing:

- Solve complex, loosely scoped problems
- Provide technical leadership on one or more projects
- Actively code and manage technical quality for products, services and platforms
- Keep a keen focus on maintainability, security, and reliability
- Work with clients to understand their requirements, explain trade-offs for different options and ensure you deliver a solution that they value and will use
- Mentor and supervise junior engineers
- Work in different modes including independent technical delivery and as part of a team with others such as designers and analysts
- Help shape the technology strategy for companies of various sizes

You will thrive in this role if you:
- Have previously worked on medium to large scale software projects
- Have experience in at least one maintainable programming language: SQL, Python, Java, etc
- Have experience with at least one cloud platform (e.g. AWS/GCP/Azure)
- Experience with data tools like Redshift, Athena, BigQuery, Airflow, data visualisations tools like tableau, powerBI, Looker

Understand how consulting engagements work

- Have an understanding of project accounting and consulting economics
- Passionate about the data space and have a continuous learning mindset
- Can collaborate effectively, not just with your immediate team, but with other people
- Have the ability to explain technical concepts regardless of the audience
- Don’t shy away from accountability, and actively seek ownership of problems
- Focus on compassion and empathy in your interactions with others

This job description isn’t rigid. We are still growing our engineering capability, and you will be able to help influence the company in areas where it interests you. And if you don’t meet all of these requirements, we recommend you apply anyway. This list is not exclusive and we value what you can bring to the table.

Key Responsibilities:

• Develops and maintains scalable data pipelines for bulk data movement between systems of record and systems of reference
• Develops and maintains scalable application to application integrations
• Aligns initiatives between business teams and technical teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization
• Implements processes and systems to monitor data quality, ensuring production data is accurate and available for key stakeholders and business processes
• Writes appropriate unit or integration tests to implement test-driven development
• Continually contributes to and enhances data team documentation
• Performs data analysis required to troubleshoot and resolve data related issues
• Works closely with a team of frontend and backend engineers, product managers, and analysts
• Defines company data assets, artifacts and data models
• Within the first 6 months, we expect you to:
• Acquire Boomi certifications.
• Become proficient in debugging and implementing fixes within our environment.
• Be ready to take on integration projects on your own.

 

DUTIES AND RESPONSIBILITIES General To support clinicians, researchers and non clinical staff in performing statistical analysis and producing data models To lead on and manage statistical and data science projects with clinicians, researchers and non clinical staff and guide the input of team members in projects To use data and technical analysis to extract insight from data for clinical and operational purposes, identifying solutions, recommending process and business rule improvements To interpret statistical results and explain them, verbally and in writing, so as to be understood by non-statisticians To advise on the appropriate techniques for data analysis and interpretation, advising analysts when data science and statistical work feasible To identify and recommend improvements in reporting, software or other systems, which contribute to the performance of the systems or accuracy of data To utilise explorative data science techniques to extract usable insights from data and explain data-driven recommendations to others through clear visualisations To explore and stay up-to-date with various modelling techniques, advising on those optimal for the purpose To ensure selected techniques remain to be fit for purpose through on going monitoring and robust data pipelines To plan own workload and projects appropriately To test own work and peer-review team members work To support the learning of team colleagues and mentor junior team members To create and maintain documentation on analysis undertaken for the creation of tools and reports for CODU projects Any other duties commensurate with the post and grade that may be requested by the Lead Data Scientist Communication and Relationships Communicate professionally with senior clinicians and service managers. This may require the use of specific clinical terminology to understand issues being raised in detail Represent the Clinical Outcomes and Data Unit and Digital Services as appropriate in internal and external meetings, reporting back on progress. The post holder must be able to travel and be sufficiently confident to forge effective working relationships with partner organisations as required Advise, support and lead on reporting at appropriate directorate, divisional and Trust level meetings Be a point of contact for CODU, managing queries, problems, requests, and incidents ensuring they are logged and tracked Lead, manage and action the resolution of assigned tasks in an efficient and professional manner. Post holder must conform to Trust and departmental procedures and working practices, seeking further advice and information when necessary Knowledge, training and experience Post holder must be adept at researching and understanding complex, multi-departmental clinical data flows, and apply advanced levels of understanding of specialty specific data Expert at understanding problems and utilising various software to provide data insight tools using appropriate analytical techniques An exceptional attention to detail, ensuring high quality and efficient new processes are implemented Work closely with other teams in digital services (software development, data engineering) to understand cross over in work streams, and potential implications Support the highly important requirements of the performance management and income teams. Post holder should have an awareness of NHS financial and performance reporting Be continuously aware of changes to working practices for colleagues across the trust. Ensure that products are amended to reflect these changes, and meet expectations of stakeholders Analytical Apply statistical and analytical knowledge to critically appraise and challenge the results of outputs ensuring only meaningful information is delivered to the clinical/business stakeholders. Responsibility policy and service Act as an ambassador for the CODU by developing and maintaining excellent working relationships with users across the organisation, delivering against local requirements and national targets Lead in the development and maintenance of a culture of service provision and continuous improvement for own areas Be responsible for implementing policies for own work area and for proposing changes to policies, in line with legislation, Trust and NHS policies and guidelines across the Trust, where appropriate Pro-actively participate in ensuring that services delivered within the Trust reflect best practice with respect to organisational, NHS and legislative requirements and guidelines including IT Infrastructure Library (ITIL), Data Protection Act (1998), Information Standards, Information Security and compliance with NHS Information Governance Participate in Information Governance and security as required and ensure appropriate governance and security in own area Ensure change management is applied in own areas and follows implemented policies and procedures Ensure all documentation relating to own area of work is complete and fit for purpose Participate in Root Cause Analysis (RCA) for allocated incidents and problems; instigating emergency action, when required, liaising with other Trust Managers, as appropriate. Responsibility - Staff/HR/leadership training Responsible for line management of own team in line with appropriate policies, procedures, working practices and guidelines, ensuring all resources are deployed to maximise an efficient and effective delivery of support services to patients and users Provide regular performance reports on progress, status and achievements for own area to be used by management and users Undertake and support the development of staff in line with personal development reviews and other associated guidance. Responsibility finance and physical Be responsible for the safe use of ICT hardware and software Monitor the maintenance and support contracts allocated to own area, ensuring continuity of service and budget management. Liaise with third party suppliers to identify and evaluate potential value for money contracts Liaise with external agencies, suppliers and contractors ensuring delivery of service is in line with agreed contracts Support business appraisals and business case production when required in partnership with Trust stake holders. Undertake solution searches and appraisals of supplier proposals Ensure Trust procurement processes and procedures are followed in a timely and efficient manner and participate in the procurement process where relevant, providing assistance for the development and assessment of procurement documentation as required Ensure Trust Standing Financial Instructions (SFIs) and procurement guidelines are followed and adhered to Project Management Advise and participate in the development and implementation of projects, where required, ensuring Informatics provision of integrated solutions and user objectives are achieved. Ensure project tasks, where required, are successfully delivered in line with agreed timescales and budgets. Support the activities of project boards and project teams, when required, and making presentations, where required, to all levels of staff. Ensure any project management documentation or reports are delivered in line with agreed standards and timescales. Business Continuity Management Participate in the development, exercising, maintaining and reviewing of business continuity plans. Participate the business impact analysis exercises highlighting critical business processes within own area. Be familiar with the Trust Business Continuity Plan and personal responsibilities within where applicable.

Role: Senior Data Engineer

Job level: More than 10 years of relevant experience (L4)

Key skills:

AS400, Hadoop, Data Lake, SQL, Informatica

Key Responsibilities:

· Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data

· Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).

· Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third-party tools), BMC monitoring tools

· Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)

· Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions

· It will be good to have experience in working with No SQL as well as virtualized Database Environment

· Implement data transformations, aggregations, and computations using Spark RDDs, Data Frames, and Datasets, and integrate them with Elasticsearch

· Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

· Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

· Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

· Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge of technology stack at global banks is mandatory.

· Flexibility to stretch and take challenges

· Communication & Interpersonal skills

· Attitude to learn and execute

Key Requirements:

• 7+ years of AS400, RPG, CLP & SQL

• Knowledge of Aldon Change Management System(ACMS) is a must·

• Experience in developing Hadoop

• Experience in data lake (integration of different data sources into the data lake)

• SQL Stored Procedures/Queries/Functions

• Unix Scripting

• Experience with distributed computing, parallel processing, and working with large datasets

• Familiarity with big data technologies such as Hadoop, Hive, and HDFS

• Job Scheduling in Control-M

• Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

• Familiarity with version control systems (e.g., Git) and collaborative development workflows

• Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams.

Powerful predictors of the future, our Analytics team blends data science and business intelligence to enable extra foresight for our platform offerings. They connect insights to results for our clients by working closely with senior stakeholders, staying in tune with market trends, with the power of our big data assets. By leveraging new age analytic tools and emerging technologies, the team nurtures a perfect learning environment for enthusiastic individuals to grow and succeed. The Senior Data Analyst is responsible for conducting data analyses using SAS/SQL/Python/R and other tools in support of a variety of analytic solutions.

Roles & Responsibilities

• Develop analytical frameworks to answer questions/solve business problems.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Hypothesis testing and reporting statistically significant results
• Create and present data-driven insights to client/stakeholders, proficient with storytelling from the generated insights
• Project Management skills with the ability to work independently with minimal support
• Mentor/hand-hold junior team members on technical/problem-solving aspects
• Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions.
• Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to identified problems.
• Create visually compelling dashboards and reports to effectively communicate data-driven insights
• Effective communication skills to convey complex data insights, ability to collaborate with cross-functional teams, high levels of accountability in maintaining data integrity.

Job Description

We are looking for an experienced data engineer (DE) with a strong sense of social mission. This role is seconded to NTUC Health (NHealth), as a part of NHealth’s multidisciplinary data team consisting of data engineer, data scientist and data analyst. You will report to the Head of Data & Analytics, who is accountable to the NHealth and NTUC First Campus Chief Strategy and Transformation Officer. As an experienced DE, you will contribute to NHealth’s mission of delivering trusted care for individuals and families by helping the organisation harness the value of her data. In your work, you will design and implement efficient data infrastructure and data models, build data pipelines from diverse source systems, and safeguard the security of the organisation’s datasets, all in a cloud-based environment. Together with the data analysts on your team, you will have opportunities to work with senior leadership on high impact data products and projects within NHealth and potentially across other NTUC social enterprises. In addition to your individual DE deliverables, you are required to have a data analytics mindset and be able to provide guidance to junior data analysts on strategic data products to build. The ideal candidate is a data engineer who has a knack for data problem solving, and is proficient in translating business requirements into technical implementations. 

Duties and Responsibilities

• Set up data infrastructure, data pipelines, integrate source system data with data lakes and data mining models into data pipelines.
• Design, build, support and optimize new and existing data models and ETL/ELT processes, including the ETL/ELT from source system to data lake and those within the data lake
• Develop and support the data pipeline to integrate data from new data sources with emerging data technologies.
• Define and manage SLA, data quality for all data sets in allocated areas of ownership
• Maintain and optimize the performance of data analytics infrastructure to ensure accurate, reliable and timely delivery of key insights for decision making.
• Work with business users and tech team to understand the context and meaning of NHealth’s data
• Identify high impact data products/analytics projects through scoping with end users
• Exercise leadership in guiding junior analysts to scope, plan, design and execute projects 

Requirements

Requirements

• Strong interest in understanding and solving business problems with data
• Bachelors/Masters in Computer Science, Engineering or related field
• Relevant work experience as Data Engineer or related field
• Experience with Data Analytics Infrastructure. 2-3 years’ experience in designing, building and operationalizing medium to large scale data integration projects with Google cloud or AWS services
• Familiarity with SQL and one or more data Lake, Data Warehouse, RDBMS technologies (e.g. PostgresSQL, MSSQL, Oracle, SAP Hana, Hive, etc.)
• Able to work independently with large and multiple data sets from various business processes and systems, to support the business in achieving strategic objectives
• Familiarity with python or any equivalent programming language
• Has some experience in stakeholder management, project management and leading 1-2 personnel
• Self-starter, able to work independently to drive and deliver projects

JOB SUMMARY

We are looking for a talented and experienced Lead Data Engineer to join our innovative team. The Lead Data Engineer will play a critical role in leading the design, development, and maintenance of our data infrastructure, pipelines, and analytical tools. The ideal candidate will have a strong technical background in data engineering, expertise in analytical tools, and proven leadership skills to mentor and guide a team of data engineers.

JOB DUTIES

• Lead the design, development, and implementation of scalable and efficient data pipelines, databases, and data infrastructure.
• Mentor, coach, and guide a team of data engineers, providing technical leadership and support.
• Collaborate with data scientists, product managers, and business stakeholders to understand data requirements, facilitate data-driven decision-making, and deliver actionable insights.
• Optimize database schemas, tables, and queries to support data storage, retrieval, and analysis.
• Integrate and optimize analytical tools such as Tableau, Power BI, or Looker to enable advanced data analysis, visualization, and reporting capabilities.
• Develop and enforce data engineering best practices, standards, and guidelines to ensure the quality, performance, and reliability of our data solutions.
• Implement ETL processes to integrate data from various sources, ensuring data quality, consistency, and integrity.
• Optimize data pipelines, queries, and infrastructure for performance, scalability, and cost-efficiency.
• Monitor and troubleshoot data pipelines and infrastructure issues, and provide timely resolutions.
• Stay up-to-date with the latest data engineering technologies, analytical tools, and best practices, and drive their adoption within the team.
• Ensure data security, compliance with data governance and privacy regulations, and adherence to analytical tool licensing agreements.
• Work closely with cross-functional teams to identify data needs and requirements, and deliver data solutions that meet business objectives.
• Document data pipelines, processes, and best practices, and contribute to the development of data engineering documentation and standards.
• Stay up-to-date with the latest data engineering technologies, tools, and best practices, and recommend their adoption as appropriate.

JOB REQUIREMENTS

• Bachelor’s degree in Computer Science, Information Systems, or equivalent work experience.
• 6+ years of experience in data engineering, with at least 3 years in a lead or senior engineering role.
• Proven leadership skills with experience in mentoring, coaching, and guiding a team of data engineers.
• Strong technical background in designing and implementing data pipelines, databases, and analytical tools.
• Proficiency in programming languages commonly used in data engineering such as Python, Java.
• Hands-on experience with big data technologies and frameworks such as Hadoop, Spark, Kafka, and Hive.
• Hands-on experience with analytical tools such as Tableau, Power BI, Looker, or similar platforms.
• Solid understanding of relational and NoSQL databases, and experience with database design, optimization, and SQL querying.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Experience with real-time data processing and streaming technologies (e.g., Apache Flink, Kafka Streams).
• Excellent analytical and reasoning skills with an ability to anticipate outcomes of a solution.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Strong sense of responsibility, initiative, and commitment.
• Self-motivated, proactive, and able to work independently with minimal supervision.
• Knowledge of data governance, data security, and compliance standards and best practices.
• Maintain confidentiality of information processed or prepared.
• Ability to lead, convince and inspire team members in a fast-paced environment.
• Willingness to travel to meet and work with offshore team members.
• Fluency in written and spoken English and Mandarin is highly desirable to liaise with Chinese speaking clients and counterparts.

Location(s): Singapore / Kolkata India / Gurgaon India

Do you possess excellent problem solving abilities, programming skills and a passion for creating innovative applications?

Are you interested in working with one of the largest data repositories in the world today, soon to exceed 1 Exabyte?

Do you see yourself as an integral part of a highly skilled, multidisciplinary team solving hard data science problems through ground-breaking innovations and bringing them to real production ?

Do you feel comfortable in challenging problem solving environments where the issues confronting you often have no pre-set solutions, require first-principles thinking and need to be addressed on tight deadlines?

If you answered YES to the above, we have the ideal opportunity for you at Mobilewalla.

About Mobilewalla:

Mobilewalla stands as one of the world's fastest-growing consumer intelligence companies, headquartered in the United States and maintaining a global presence with offices across Europe, APAC, and ANZ regions.

Our innovative approach involves the development of cutting-edge computational techniques, ranging from semantic compression algorithms that enable cost-effective storage of vast datasets to statistical modeling techniques that profile anonymous consumers on their mobile devices. This innovation has led to the creation of the largest consumer audience platform in the mobile space. Mobilewalla's platform is rapidly becoming the preferred asset for global marketers seeking to execute data-driven marketing campaigns. We take pride in our technical excellence, having earned accolades such as the AWS Technology Company of the Year award in 2019.

Additionally, we have been recognized as a premier data company by Oracle Data Cloud, the world's largest digital data marketplace — a distinction shared by only 18 companies globally.

Responsibilities:

Advanced Analytics:

• Develop and implement predictive models, algorithms, and statistical analyses to extract meaningful insights from large datasets specific to the Telco domain.
• Design experiments and conduct exploratory data analysis to identify trends, patterns, and opportunities for product enhancement.

Machine Learning:

• Apply machine learning techniques to optimize and personalize Telco product features.
• Collaborate with cross-functional teams to integrate machine learning models into our products, ensuring seamless user experiences.

Data Modelling:

• Build and maintain robust data models (community detection) for Telco-specific datasets, considering scalability, efficiency, and accuracy.
• Continuously evaluate and enhance existing models (Householding and Business Community detection) to improve predictive performance.

Product Enhancement:

• Work closely with product managers to identify Telco market trends and customer needs, translating them into actionable data science projects.
• Provide data-driven recommendations to improve product features, user engagement, and overall customer satisfaction.

Communication:

• Effectively communicate complex analytical findings to both technical and non-technical stakeholders, facilitating informed decision-making.

Qualifications:

Educational Background:

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.

Experience:

• Proven track record of at least 4 years in a data science role with a focus on Telco competitive intelligence products.
• Strong experience in applying machine learning algorithms and statistical modeling in the Telco domain.

Technical Skills:

• Proficiency in programming languages such as Python or R.
• Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, PySpark) and data manipulation tools.

Domain Knowledge:

• In-depth understanding of Telecommunications industry trends, challenges, and emerging technologies.
• Familiarity with Telco-specific datasets and data sources.

Preferred Qualification:

• Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products.

Collaboration:

• Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders.

Communication Skills:

• Excellent communication skills with the ability to present complex technical findings in a clear and understandable manner.
• If you are a passionate & innovative problem solver with expertise in Telco products, we invite you to join our team and contribute to the success of our cutting-edge products in the telecommunications space.

For Singapore location : Individuals who are Singapore Citizens, Permanent Residents, or current Employment Pass (EP) holders only will be screened.

Only shortlisted candidates will be notified.

No agencies required.