Data Engineer
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Summary
The Data Engineer will design, develop, and maintain ETL workflows and data pipelines using Informatica PowerCenter, Python, Spark, and Hive. The role involves optimizing SQL queries, performing production support, and collaborating within an Agile environment.
Experience : 6+ Years
Role : Data Engineer
Required Skills
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.
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, troubleshooting, and production support.
. Coordinate with Business Analysts, QA, and business stakeholders throughout the project lifecycle.
. Participate in Agile/Scrum ceremonies and contribute to sprint planning and delivery.
. Support production deployments and incident resolution.