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.