Data Engineer

Experience: 10+ 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.

Preferred Qualifications

·        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.

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.