Total 2 Data Entry Clerk job vacancies in Mumbai, India

Roles/Responsibilities:

The candidate should have good communication skills.

Should have good Application production support experience in data platform : Big Data / Data warehousing (experience in Teradata , ETL ) , Unix, SQl, shell scripting.

Should be able to manage/guide team technically and should able to communicate with different stake holders.

- Strong in data engineering concepts and programming

- Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Strong analytic skills related to working with unstructured datasets.

- Experience in supporting data transformation, data structures, metadata, dependency and workload management.

- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

- Provide operational support and ensure SLI of Applications

- Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA

- Proactively Identify and Identify opportunities for preventive Maintenance

- Perform Administration & Optimization to achieve of Optimal System Performance

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to Established Standards.

- Recommend Design and Operational Optimizations

- Respond on time to the queries raised by various business units

- Provide Timely updates (Status, Progress, Issues, Resolutions) to Business Stakeholders

- Work with Project/Enhancement Teams to Review, Transition for Run Team

- Participate in Disaster Recovery and Business Continuity exercises.

- Support relevant software/platform/database upgrade for the systems

- Knowledge of Troubleshooting Core Java, Python, Scala spark batch, API and streaming applications

- Support data APIs, data science ML applications running on Kubernetes platform.

Requirements:

- Up to 9 years of IT experience & 5+ Years on Hadoop and K8s Eco Systems

- Last 3 years of relevant experience in banking/financial services industry

- Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka, Kudu, Flink, Ozone, Kafka and Streaming.

- Strong SQL, Python, Java and Unix shell scripting

- Incident, problem, and service Outage management experience is Plus.

- Good Communication and Articulation Skills

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.