Senior Data Engineer: Spark, Oracle & Cloud Analytics

JobDiva, Inc.; Charlotte (NC); On-site; USD 120,000 - 170,000; Full time

Job summary

JobDiva, Inc. in Charlotte, NC is seeking a Senior Data Engineer with Oracle OLAP and Spark expertise to lead large-scale data modernization and analytics initiatives.

You will build high-performance data pipelines with PySpark/Scala, optimize SQL and Spark workloads, and design data models for cloud analytics platforms. This role requires 8+ years in data engineering and hands-on Oracle GoldenGate, Kafka, and CDC experience.

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 Spark applications, SQL queries, and large-scale ETL/ELT processes.
• Experience with Oracle GoldenGate, CDC, or enterprise-scale data integration technologies.

Responsibilities

• Design, develop, and optimize large-scale data processing solutions using Spark (PySpark/Scala) and Python.
• Build and maintain scalable ETL/ELT pipelines for analytical workloads.
• Optimize query performance, Spark jobs, and end-to-end data pipelines for high-volume workloads.
• Design and implement data integration, replication, and ingestion using Oracle GoldenGate, Kafka, and CDC frameworks.
• Collaborate with cross-functional teams to develop scalable data models and processing frameworks.
• Drive performance tuning across Oracle, Spark, and distributed data environments.

Skills

PySpark

Scala

Python

SQL

Data Modeling

ETL/ELT

Performance Tuning

Tools

Oracle GoldenGate

Kafka

CDC

Oracle DB

BigQuery

Dataproc

Job description

JobDiva, Inc. in Charlotte, NC is seeking a Senior Data Engineer with Oracle OLAP and Spark expertise to lead large-scale data modernization and analytics initiatives.

You will build high-performance data pipelines with PySpark/Scala, optimize SQL and Spark workloads, and design data models for cloud analytics platforms. This role requires 8+ years in data engineering and hands-on Oracle GoldenGate, Kafka, and CDC experience.