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Data Engineer – Oracle, Spark

Rivago infotech incIrving, TX🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationIrving, TX, United States
OracleSQLScalaApache SparkETLApacheBigQueryGoogle CloudHadoopKafkaPythonAzure

Job description

Role : Data Engineer – Oracle, Spark

Location : Irving, TX(Hybrid/ 3 days in a week)

Persistent systems

Recommended Experience: 8+ Years

Oracle | SQL | PySpark | Python | Apache Spark | AI

Data Engineer – Oracle, Spark

We are seeking an experienced Data Engineer with deep 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 building high-performance data pipelines, optimizing large-scale data processing workloads, and integrating enterprise data platforms with modern cloud analytics solutions.

Key Responsibilities

  • 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 for high-volume batch and near real-time workloads.
  • Design and implement data integration, replication, and ingestion solutions using technologies such as 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.

Required Qualifications

  • 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.
  • Proven experience tuning and optimizing:
    • Spark applications and execution plans
    • Complex SQL queries
    • Large-scale ETL/ELT processes
    • High-volume batch processing workloads
  • Strong SQL and data modeling skills.
  • Experience with Oracle GoldenGate, CDC, or enterprise-scale data integration technologies.

Preferred Qualifications

  • Experience with Oracle Exadata and large-scale Oracle analytics platforms.
  • Experience with Google Cloud Platform (Google Cloud Platform) services such as BigQuery, Dataproc, Cloud Storage, Pub/Sub, and Dataflow.
  • Experience integrating Oracle with cloud data platforms, data lakes, Kafka, Hadoop, or BigQuery.
  • Experience with Azure, OCI, or multi-cloud data architectures.
  • Experience supporting large-scale data migration and modernization programs.

Ideal Candidate A hands-on data engineer with strong expertise in Oracle for analytical and data warehousing workloads, advanced Spark development and performance tuning skills, and experience building scalable cloud-based analytics solutions

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