Jobs → Data & Analytics → Senior Data Engineer

About the Role We are looking for an experienced Senior Data Engineer with strong expertise in Oracle analytical platforms, Apache Spark, and large-scale data engineering for our client, Persistent Systems. Key Responsibilities • Design, develop, and optimize large-scale data processing solutions using Spark and Python • Build and maintain scalable ETL/ELT pipelines • Optimize SQL queries, Spark jobs, and data processing workflows • Implement data integration and replication using Oracle GoldenGate, Kafka, and CDC frameworks • Drive performance tuning across Oracle and Spark environments • Manage end-to-end data ingestion, transformation, quality, and distribution • Ensure monitoring, automation, governance, and data lineage • Provide technical leadership, mentorship, and code reviews Requirements • 10+ Years of Overall Experience in Data Engineering • Strong hands-on experience with Apache Spark (PySpark / Scala) • Strong Python Programming Skills • Deep understanding of Oracle Databases, OLAP, and Data Warehousing • Experience optimizing Spark Applications and Execution Plans • Strong SQL Query Optimization and Data Modeling Skills • Experience developing large-scale ETL/ELT Pipelines • Hands-on experience with Oracle GoldenGate, CDC, or Enterprise Data Integration • Experience with large-scale data processing and performance tuning • H1B / H4 EAD Candidates Only • Candidates must be based in the USA • Hybrid Work Mode – 3 Days a Week in Irving, TX