Jobs → Data & Analytics → Senior Data Engineer – Oracle, Spark

About the Role We are seeking a Senior Data Engineer with expertise in Oracle and Spark to join our team. This role involves designing, developing, and optimizing large-scale data processing solutions. Key Responsibilities • Design, develop, and optimize large-scale data processing solutions using Spark, Python, PySpark, and Scala • Build and maintain scalable ETL/ELT pipelines • Optimize SQL queries, Spark jobs, and end-to-end data processing workflows • Implement data integration, replication, and ingestion using Oracle GoldenGate, Kafka, and CDC frameworks • Drive performance tuning across Oracle, Spark, and distributed data environments • Manage end-to-end data ingestion, transformation, quality, and distribution • Support high-volume and low-latency data processing requirements • Implement observability, monitoring, automation, governance, data quality, and lineage • Collaborate with application, data, and analytics teams • Provide technical leadership, mentorship, and code reviews Requirements • 10+ years of overall experience in Data Engineering or related roles • Strong hands-on experience with Apache Spark (PySpark and/or Scala) • Strong Python programming skills • Deep understanding of Oracle databases, OLAP, and data warehousing • Experience optimizing Spark applications, execution plans, and distributed workloads • Strong SQL query optimization and data modeling skills • Experience developing large-scale ETL/ELT pipelines • Experience with Oracle GoldenGate, CDC, or enterprise data integration