Data Engineer

Key Responsibilities:

· Design, develop, and maintain ETL workflows using Informatica PowerCenter.

· Develop data pipelines using Python, Spark, Hive, and HDFS.

· Perform data extraction, transformation, and loading (ETL/ELT) from multiple source systems.

· Write and optimize SQL queries for Oracle, Teradata, or SQL Server databases.

· Prepare technical design documents, mapping specifications, and data flow documentation.

· Perform performance tuning, trouble shooting, and production support.

· Coordinate with Business Analysts, QA, and business stakeholders throughout the project lifecycle.

· Participate in Agile/Scrumceremonies and contribute to sprint planning and delivery.

· Support production deployments and incident resolution.

RequiredSkills:

Must Have

· Informatica PowerCenter

· SQL (Oracle/Teradata/SQL Server)

· Python

· Apache Spark

· Hive & HDFS

· ETL/Data Warehousing concepts

· Unix Shell Scripting

· Production Support

· Agile/Scrum

Good to Have

· Apache Sqoop

· Apache NiFi

· Control-M or AutoSys

· Git/Bitbucket

· Jenkins

· Banking or Financial Services domain experience

Preferred Qualifications

· Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field.

· 8–12 years of experience in ETL and Data Engineering.

· Strong analytical, problem-solving, and communication skills.

· Experience working with large-scale enterprise data platforms.