Data Engineer – Oracle, Spark
Rivago infotech inc
Dice Job Match Score™
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Job Details
Skills
- Analytical Skill
- Batch Processing
- Data Processing
- Data Migration
- Collaboration
- Extract, Transform, Load
- Cloud Storage
- Apache Hadoop
- Database
- ELT
- Data Warehouse
- Change Data Capture
- Google Cloud
- Data Integration
- Artificial Intelligence
- Data Flow
- Oracle Exadata
- Google Cloud Platform
- OCI
- Oracle GoldenGate
- Good Clinical Practice
- PySpark
- Reporting
- Python
- Scala
- SQL
- Oracle
- Performance Tuning
- Apache Spark
- Apache Kafka
- Migration
- Data Engineering
- Data Modeling
Summary
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
- Dice Id: 91131106
- Position Id: 9135885
- Posted 22 hours ago
Company Info
About Rivago infotech inc
Rivago Infotech Inc has been a leader in IT staffing and Software development for over 5 years and is one of the largest diversity and development firms in the industry. We are known for our high-touch, customer-eccentric approach, offering our clients unmatched quality, responsiveness and flexibility . We are appreciated by our clients for our streamlined execution, highly efficient service and exceptional talent management that go above and beyond traditional staffing services.
