Data Engineer - Part-Time

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.