Location: Irving, TX
Work Model: Onsite
Experience: 10+ Years
Employment Type: W2
Visa: Any Visa
Eligibility: US Candidates Only
Oracle, SQL, PySpark, Python, Apache Spark, AI
We are seeking an experienced Senior Data Engineer with strong expertise in Oracle-based analytical platforms and Apache Spark to support large-scale data modernization, migration, and analytics initiatives.
The ideal candidate will have hands-on experience developing high-performance data pipelines, optimizing large-scale data processing workloads, and integrating enterprise data platforms with modern analytics solutions.
Design, develop, and optimize large-scale data processing solutions using Apache Spark (PySpark/Scala) and Python.
Build and maintain scalable ETL/ELT pipelines for analytical and reporting workloads.
Optimize query performance, Spark jobs, and end-to-end data processing pipelines.
Design and implement data integration, replication, and ingestion solutions using Oracle GoldenGate, Kafka, and CDC frameworks.
Collaborate with application, data, and analytics teams to develop scalable data models and processing frameworks.
Drive performance tuning initiatives across Oracle, Spark, and distributed data processing environments.
8+ years of experience in Data Engineering or related roles.
Strong hands-on experience with Apache Spark (PySpark and/or Scala) and Python.
Deep understanding of Oracle databases supporting OLAP, data warehousing, and analytical workloads.
Experience optimizing Spark applications, execution plans, and complex SQL queries.
Strong SQL and data modeling skills.
Experience with large-scale ETL/ELT processes and high-volume batch processing.
Experience with Oracle GoldenGate, CDC, or enterprise-scale data integration technologies.
