Total 1,718 Senior Executive data entry clerk job vacancies in The United States of America

Working Location: Central

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

Your role:

• Be open to learn new things and enjoy the learning journey
• Drive daily operations and service of all areas of business
• Job rotation between various departments
• Participating in meetings, workshops, and events
• Compiling analysis and making presentations to other team members
• Completing fieldwork and providing evaluation analysis of the company’s services
• Gaining knowledge of management viewpoints, company policies, protocols, and processes
• Fulfilling any requirements and meeting goals set out at the start of the traineeship
• Observe experienced staffs to acquire knowledge of methods, procedures, and standards required for performance of departmental duties
• Provide support as needed in the various departments, including data-entry, presentation creation, strategic planning, client service matters as needed

Requirements

• Minimum Diploma and above
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

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.

Job Description:

• Be part of a team to build and maintain data systems or pipelines.
• Perform setup, installation, configuration, troubleshooting and/or upgrade for COTS products.
• Develop or implement ways to improve data warehouses, data lakes or equivalent platforms.
• Involvement in the creation of documentation e.g. design documents, troubleshooting guides etc.

Job Requirements:

• Degree in Computer Engineering/Computer Science/Information Technology or related technical discipline.
• Preferably 1 - 2 of working experience in related fields.
• Knowledge and/or experience in data management or data engineering.
• Experience with Linux commands and shell script.
• Knowledge and/or experience in relational (including SQL) or NoSQL database (e.g. document, graph).
• Knowledge and/or experience in one or more of the following will be an advantage: Data / Search / Automation platforms such as Hadoop, Elasticsearch, Ansible respectively.
  Data integration tools such as Talend, DataStage, Denodo.
  o Programming languages such as Python, Spark.
  o Microsoft Azure Cloud services such as Azure Data Factory, Azure Synapse Analytics.
  o Analytics platforms such as Databricks, Dataiku, Data Robot.
• Good problem-solving skills.
• Able to work independently and as a team.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to qianyu@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

The Senior Data Analyst role is important to:

• Lead and implement Student Data Analytic Projects that aid data-informed decision-making and reporting, as well as to enhance student experience.
• Manage Student Data Catalogue and metadata in Denodo virtual data warehouse and develop integrated datasets for data analytics and reporting.
• Fully implement and enforce the Student Data Governance Framework and extensive adoption of the framework by Colleges, Schools, and Departments, that ensures data quality which is most critical for Data Analytics.
• Train end-users on new reports and dashboards.

Responsibilities

• Leading the implementation of Student Data Governance (SDG) framework across Student Admin Departments, Colleges, and Schools; Secretariat support to the SDG Steering Committee Meetings.
• Leading and conducting Data Quality (DQ) Assurance programme across different data areas and monitor DQ via developing DQ dashboard.
• Developing and managing student data catalogue for management reporting and data analytics projects.
• Driving the adoption of NTU Education Dashboards to support decision-making at different level of the University.
• Leading, developing, and managing data analytics projects to provide enhanced insights from student data, such as student profiling, data analysis to support policy maker in relevant policies, predictive analysis of students at-risk, degree programme quality assurance analysis, student quantitative or qualitative feedback analysis using Natural Language Processing (NLP).
• Training staff in data-related framework, concepts, and competency in data analytics.
• Supporting business data users in student admin process automation.

[The role is expected to lead and facilitate, in addition to execution.]

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, or Mathematics.
• Over 7 years of professional experience in data analytics and data governance.
• Demonstrated technical proficiency in data models, database design and development, data mining, and machine learning techniques. Familiarity with Natural Language Processing (NLP) is advantageous.
• Strong familiarity with data visualization tools such as Qlik Sense, along with programming proficiency in Python/R and SQL.
• Experience with Robotic Process Automation (RPA) tools like UiPath and Power Automate is a plus.
• Proven track record in planning and executing data analytics projects to meet business objectives.
• Excellent communication skills, capable of effectively liaising with business stakeholders to understand data requirements and deliver actionable insights.

Your new role

• You will be responsible for designing, developing, architecting and constructing data warehouses.
• You will be extracting data from various sources (such as Oracle systems).
• You will be transforming the data into a more useful format (e.g., cleaning, aggregating, and enriching).
• You will be loading the transformed data into the data warehouse.
• You will work closely with business analysts to translate these requirements into technical specifications for data solutions.

Your new company
You will be working for a global manufacturing organisation investing in their business intelligence department, moving into the cloud and searching for a contractor who can help in ensuring the organisation's success by enabling data-driven decision-making. The company is located in Runcorn business park - a valid driving licence and access to a car is imperative to be able to get this job.

What you'll need to succeed

• Familiarity with data warehousing solutions (designing, developing, maintaining),
• Tech stack skills - VMware, Navicat, Oracle, Azure (MySQL),
• Both Oracle SQL and MySQL for data querying, manipulation and data management,
• Practical experience in setting up Open Database Connectivity for seamless data integration,
• Experience integrating data warehouses with Tableau.

What you'll get in return
This 6-month contract inside IR35 offers a negotiable day rate. This role requires working in the office 2 - 3 days per week to be able to fully embed yourself with the team and the organisation.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

MAS’ Data Analytics & Engineering Division (DAE) is a specialised team within the Data Technology and Architecture (DTA) Department within the Technology Group (TG) in MAS.

DAE’s primary purpose is to partner internal MAS functions to generate business value through the enablement of effective and efficient use of data driven insights for business value creation. This is achieved through effective strategies, strong in-house development capability, standardization of processes, tooling enablement, establishing a product development mindset, promoting knowledge sharing within MAS and complementary external collaborations.

As a DAE Senior Data Scientist, you will be working in a fast-paced environment that would require the ability to manage multiple priorities and needs of stakeholders, as well as the agility to respond to changes and developments.

Specifically, you are expected to:

Be a technically skilled leader grounded on best practices

• Be accountable for and drive assigned data science related initiatives together with a team of expert data scientists
• Provide technical leadership to junior data scientists within DAE, and data scientists residing within MAS business departments
• Be directly responsible for the delivery of the assigned data science products within MAS
• Adhere to data science best practices, and standards for documentation, validation, and reproducibility of data science work across the team and MAS
• Adhere to AI governance related policies, and ensure safe and responsible development of such products
• Stay up to date on emerging data science trends, methods, and technologies

Be an effective communicator and collaborative partner

• Collaborate effectively with DAE’s Production Engineering (PE) and Product Management (PM) teams to deliver enterprise grade data science products
• Interface with assigned MAS business groups, and support them in identifying opportunities to deliver additional business value through data science products
• Work with MAS Academy to deliver both targeted analytics training and broad-based awareness programs to all MAS staff
• Promote the growth of the Data Analytics Community of Practitioners (DACoP) through organisation of workshops, training sessions, and forums to foster greater awareness of analytics within MAS

Be a supportive team player

• Support any TG, DTA, DAE and/or DS Team initiatives as required
• Strengthen DAE’s positive and open working norms

Job Requirements :

• Minimum bachelor’s degree in Statistics, Mathematics, Computer Science, or another quantitative field. Master or PhD degree in stated fields is a plus
• 10-15 years of relevant working experience developing data science products within public service and/or financial services industry independently
• Deep understanding and hands-on experience in applying classification, prediction, forecasting, anomaly detection, graph analytics, deep learning, and NLP to solve business problems effectively
• Ability to develop enterprise grade data science products, which typically involves frontend and backend programming on top of data science model development
• Knowledge of MLOps best practices
• Experience developing and deploying models and data science products on the cloud
• Familiarity with various database technologies. Working experience with both structured and unstructured datasets is a must
• Comfortable working on multifaceted problems in an agile environment. Demonstrate ability in overcoming business and technical constraints and deliver value adding data science products
• Strong presentation and communication skills. Ability to explain technical concepts to a non-technical / business / senior management audience is a must

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

This is a 2 year contract position. All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

Summary

You will be part of a dynamic team to drive growth in designing, managing and developing a Regional Data Warehouse Platform with various local and remote teams to generate insights and reports of the OTT business. Reporting to Assistant Lead, Data Innovation, you will be involved in improving/maintaining the data platform, AI/ML innovation projects and creating insightful dashboards.

Key Responsibilities

• Build and support Google Cloud Platform CDP, AI/ML and Big Data Projects
• Explore / Reconcile data using various open-source tools and/or cloud tools to generate business insights
• Work on insightful dashboards for business and operations
• Work on PoC and AI/ML projects within the group and with 3rd parties
• Solve complex data problems to deliver insights that helps the organization’s business to achieve their goals
• Design, code and test data systems and work on implementing those into the internal infrastructure or cloud platform
• Build scalable data pipelines to extract, transform, load and integrate data
• Develop codes and scripts to process structured and unstructured date in real-time form a variety of data sources
• Test data pipelines for scalability and reliability to process high data volume, variety and velocity
• Consolidate and create storage solutions for storage and retrieval of information of regional data
• Gather data and generate business insight requirements by working with local Content, Marketing and Integrated Sales teams

Requirements

• Bachelor degree or Diploma in Computer Science or Computer Studies
• Coding experience in Go and Python
• Willingness to learn new programming languages which best fit for task
• Has prior experience in at least 2 of the following keywords; Data modelling, API integrations, statistics, forecasting, DML, DDL, DQL, DCL or TCL
• Familiar with or willingness to learn Google Cloud and open to explore / PoC on other cloud platforms
• Confidence in writing SQL
• Experience or willingness to learn modern software development lifecycle and CI/CD

Desired

• Experience in creating ETL workflows, using Airflow or similar open source projects
• Experience in real-time or near real-time data ingest at Google Cloud Platform or similar
• Experience in AI/ML projects and/or research, such as BQML, Vertext AI and Auto ML

4e Exchange, a leading financial derivatives trading platform, is seeking a Senior Data Analyst to join our team. As a global leader in the financial services industry, 4e Exchange offers a wide range of financial trading services and products, with a team of experienced professionals supported by advanced technology. The Senior Data Analyst will be responsible for analyzing and interpreting complex data to inform company decisions, as well as identifying trends and opportunities for growth. The ideal candidate will have a strong background in data analytics and financial services, with the ability to communicate insights to various stakeholders.

Responsibilities

• Collect, analyze, and interpret large sets of financial and user data
• Generate reports and presentations to communicate insights and recommendations to management
• Identify trends, patterns, and opportunities for growth within the company's data
• Collaborate with cross-functional teams to support and guide effective decision making
• Develop and maintain data models and databases
• Maintain and update data visualizations and dashboards
• Continuously identify areas for improvement and efficiency in data analysis processes

• Bachelor's or Master's degree in Data Science, Mathematics, Statistics, Finance, or related field
• 5+ years of experience in data analysis, preferably in financial services or trading
• Proficiency in coding languages such as SQL/Excel, Python, R etc.
• Strong analytical and problem-solving skills, with a focus on attention to detail
• Excellent communication and collaboration skills
• Familiar with A/B test design and analysis
• Ability to manage multiple tasks and projects at once while meeting deadlines.

Job title: Senior Consultant (Data)
Occupation: Analyst Programmer
Location: Melbourne, VIC
Job type: Full time, ongoing


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!
*Include one of the four (depending on the job):

Digital
Our Digital team works collaboratively to develop end-to-end digital solutions, ranging from technology selection to building and operating phases. Spanning both software and hardware deployments, we deliver and manage scalable, cloud-focused, automated solutions – focused on shared knowledge, continuous improvement and design thinking.

Data
Working in data at Mantel Group means there’s opportunities to align to a particular cloud platform or remain cloud agnostic. Our teams are made up of awesome people who specialise in numerous areas of data so there’s endless opportunities for you including data engineering, machine learning, data analytics and data science.

Cloud
Mantel Group’s dedicated cloud capability means you are able to work with a team of passionate people and all the latest tech in your cloud of choice whether you want to help businesses reach their full potential with Microsoft products, be part of the full cloud transformation on AWS or an expert in Google cloud - there’s an opportunity here for you.

Security
Working in our emerging and growing cyber security capability allows you to work closely with clients across our teams with a deep focus on Cyber Security, Governance Risk and Compliance. There’s new opportunities to lead governance, risk and compliance initiatives for clients in regulated industries and help our clients align their information security risk position with their risk appetite.


Your day to day

• Leads a work stream, overseeing team outcomes and with a good understanding of business context.
• Helps to define the detail behind the project, including defining sprint outcomes and coordinating team rhythm e, g. stand-ups.
• Keeps the whole team (Leads, CEPs) across project progress and plan ahead.
• Builds strong trust and credibility with mid-senior client stakeholders.
• Able to influence vs. inform client stakeholders.
• Distills highly complex concepts into business-friendly language and recommendations.
• Uses hypothesis led thinking to focus the team on the highest impact solution.
• Presents in person and larger meetings with confidence, learning the ability to flex style to different types of stakeholders.
• Experience preparing SteerCo or Board paper style documents.
• Makes prioritization calls based on where our work will deliver the greatest commercial value for our clients.
• Experience leading business case exercises, helping to articulate the business value our work delivers.
• Supports presales conversations and presentations.


What you’ll need to be successful

• Be a seasoned consultant with extensive consulting experience, ideally having worked with a top tier consultancy
• a strong background in working on data projects in commercial environments, and are able to manage projects with many moving parts
• solid experience in technical writing and can prepare clear documentation for a range of audiences
• the ability to communicate effectively with stakeholders at different levels of technical detail
• Have good knowledge of how data and analytics can enable a business to grow and gain competitive advantage
• Be a strategic thinker, able to take a step back from the detail and guide our clients on their data and analytics journey
• an adaptable approach and methods based on project and customer needs, are comfortable with ambiguity and can provide guidance on scope and direction
• strong time management skills with ability to prioritise workloads under pressure and meet deadlines
• Have a self-starting attitude, be hands on, and know how to find answers and work with ambiguity
• Apply a value driven and practical approach to your work
• Have genuine passion for and connection to the data science and analytics community


What you can expect from us:

• We know you won’t have one job for life. At Mantel Group we believe in supporting our team to take their career in a direction that aligns with their passions. We have internal opportunities across Cloud, Data, Security and Digital.
• You’ll get all the tools you need to hit the ground running including a new phone, laptop & swag.
• We believe in unique experiences for all. Our My Deal program allows you to tailor your yearly plan, with the support of your Leader, to decide on what’s most important to you. That might be extra professional development, extra annual or parental leave, time to work on your side hustle, or something else completely different! One size does not fit all.
• You’ll be genuinely supported by an organisation that cares about not only you but your family as well, Mantel Group offers Flexible Personal Leave options for those unplanned moments in life.
• We support a flexible hybrid approach to working which is guided by our principles; we trust each other to “make good choices” about the best workplace locations for the requirements of the project, role and client. This can change based on our client needs.

We’ve got a clear goal when it comes to growing our team: attract and retain the right talent and provide them with the freedom to explore and grow as individuals. We don’t expect you to be an expert in everything, if you are passionate, values driven and have the right attitude - that sounds like a great place to start our conversation! We would love to hear from you if you think you are the right match!

Summary

The Senior Data Engineer will be part of Data Engineering team which is creating, maintaining, scaling and improving the enterprise data platform providing the data for AI/Data Science solutions, applications/tools, and other digital use cases.

Job Requirements:

• Design, develop, and maintain robust, scalable and sustainable data products and build & optimize data pipeline and infrastructure.
• Collaborate with stakeholders to understand their data requirements and translate them into technical solutions.
• Identify and implement data quality monitoring and validation processes to ensure data integrity.
• Implement data quality frameworks and ensure data governance best practices including data lineage, data documentation and data security.
• Build out the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using Synapse, ADF, Spark, Kafka or similar technologies.
• Work closely with Data Analysts and Data Architect to support their data needs and enable advanced analytics and machine learning initiatives.
• Contribute to the development of the organization's data strategy including evaluating new technologies, tools, and frameworks to enhance the data engineering ecosystem.

Educational Qualification & Experience:

• Degree in Computer Science, Computer Engineering, Electrical Engineering or related technical field
• Min 4- 8 years of IT experience preferably in field of data engineering
• 4+ years’ experience with Azure services including IAM, Synapse, DataLake, SQL Server, ADF etc.
• 2+ years’ experience in creating and deploying docker containers on Kubernetes.
• 2+ years’ experience in supporting development teams on Kubernetes best practices, troubleshooting and performance optimization.
• 2+ years’ experience with CI/CD pipelines toll such as Jenkins and GitHub Actions
• 2+ years’ experience with Synapse data warehousing and data lake solutions
• Strong programming skill in Python, PySpark and SQL
• 4+ years of experience in scripting and automation using languages such as Bash, Python or Go
• 2+ years of experience with infrastructure-as-code tools such as Terraform, Ansible or CloudFormation and containerization technologies (e.g., Docker, Kubernetes).
• Knowledge of Agile methodologies and software development lifecycle processes
• Proven experience in designing and implementing large-scale data solutions including data pipelines and ETL processes on Azure.

Required Knowledge:

• Troubleshoot and resolve data-related issues, performance bottlenecks, and scalability challenges on Azure
• Solid understanding of DevOps principles and experience with infrastructure automation using tools like Terraform or CloudFormation.
• Hands-on experience with cloud platforms - Azure, and related services (e.g Synapse, Data Lake, etc.).
• Understandings of data warehousing concepts and best practices
• Work closely with stakeholders to understand business requirements and translate them into data solution designs.
• Strong understanding of data architecture principles, data modelling techniques and data integration patterns.

Interested applicants, please send your resume to: rachel@oneconsulting-global.sg

EA Personnel R1109773

Agency no 07C3676

• Datacenter Capacity Planning and implementation of projects (Plan, Build and Run) and relevant documentation. 
• Handles, checks and manages 3rd party vendors and contractors security clearances and engages and coordinates for adhoc/planned maintenance activities for both data center facilities, equipment and server/devices 
• Handle backup tapes rotation and off site storage for the data centers Maintains and administers the permanent access list for both data centers. 
• Submit monthly/yearly DC performance reports for dissemination to management, document and develop process documents and ensure tickets via ServiceNow (SNOW) are closed within SLA. 
• Develop, update and maintain process documentations of data center operations. 
• Ensure Key Management System (KMS) is online, running and properly maintained along with the CCTV system Administers cabling matrix for the data centers and maintains an updated copy in share point. 
• Manages 24/7 on-site support team including vendors, contractors, hands & legs and cabling vendor for both DC and related activities. 
• Provide support for Data Center related incidents and projects/activities(IMAC) when necessary. 
• Perform any other tasks as required by management.

Senior Data Storage Engineer

Contract: 12 months

Job Descriptions

• Design, configure, develop, integrate, test, implement, document to support the storage infrastructure ecosystem.
• Work with different teams to explain requirements and suggest the appropriate storage systems and backup solutions and procedures.
• Build storage systems for information and networks for large enterprises that can cater to thousands of users at the same time.
• Facilitate the designing of the concepts and procedures, besides handling resource allotment.
• Maintain the fiber channel switches and SAN arrangements by ensuring that software and firmware are in keeping with the latest needs of the organization.
• Work with vendors to fix issues.
• Research new technologies to find out if they suit their organization’s existing infrastructure. Otherwise build appropriate infrastructure to fit them for the organization needs
• Set up and maintain documentation of the existing technology and solutions.
• Design the concept and process and handle resource allocation.
• Creating data usage and precise performance reports with office applications.
• Technology - storage and backup, Netback, Veeam, ArcServ
• Degree in Computer science or Equivalent
• At least 5-8 years of experience working with Data storage including 1-3 years of implementation experiences

Company Reg No.: 201131609D, Licence No.: 11C4684, EA Reg no: R1655133, Ashraf Ali

SENIOR DATA ANALYST (1 Year Renewable Contract)

We are seeking an experienced Senior Data Analyst to join our dynamic Data Analytics & Insights team. The ideal candidate will have a solid foundation in data analysis, management reporting, and data visualization, coupled with a track record of improving data quality and filling process gaps. This role involves close collaboration with various stakeholders to investigate and resolve data issues and ensure alignment with strategic objectives. Your expertise will guide the improvement of data quality and the creation of actionable insights, driving decision-making across the organization.

Key duties & responsibilities:

• Conduct thorough analysis of data and process-related issues.
• Collaborate with a wide range of stakeholders to resolve data-related issues.
• Troubleshoot, fix, and/or coordinate with relevant stakeholders to resolve issues on reports.
• Investigate gaps in data submission processes and drive the resolution of issues.
• Develop and maintain a comprehensive set of management/internal/client reports, both regular (daily, weekly, monthly) and ad-hoc.
• Lead the development and implementation of analytics and visualizations to provide deeper insights into data for strategic decision-making.
• Ensure reports are accurate, timely, and meet the information needs of senior management and other stakeholders.
• Implement and maintain data quality controls to ensure the integrity and accuracy of data used in reports.

We’d love to hear from you if you have...

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Statistics, Mathematics, Economics, or a related field.
• 7-12 years of experience in data analysis, management reporting, or a related field.
• Hands-on technical experience with proficiency in SQL, Python, and Power BI.
• Experience with Databricks is a bonus.
• Strong analytical skills with the ability to interpret complex datasets and solve problems.
• Experience with cloud platforms (Azure, AWS), ETL tools, and data modeling.
• Excellent communication and stakeholder management skills, with the ability to coordinate with a wide range of stakeholders to get tasks done.
• Proven track record of delivering high-quality work under tight deadlines.
• Ability to manage multiple priorities and assess and adjust quickly to changing priorities.
• Familiarity with Scrum/Agile methodology.
• Experience working in the travel industry is a plus.