Senior Data Engineer(with AS400)

Job description

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.

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