We are seeking an experienced Senior 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.
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 (GCP) 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. Experience with Google Cloud and BigQuery is highly desirable.
Bachelor's Degree in Computer Science, Information Technology, Data Engineering, Software Engineering, Computer Engineering, or a related technical field.
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.
Numbers & Facts
Location
Charlotte, NC
Skills
Analysis Skillsunmatched
Apache Hadoopunmatched
Apache Sparkunmatched
Centers for Disease Control and Prevention (CDC)unmatched
Cloud Architectureunmatched
Cloud Computingunmatched
Cloud Storageunmatched
Computer Engineeringunmatched
Computer Scienceunmatched
Data Analysisunmatched
Data Managementunmatched
Data Migrationunmatched
Data Modelingunmatched
Data Processingunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
Database Replicationunmatched
Enterprise Data Integrationunmatched
GCP (Good Clinical Practices)unmatched
Information Technology & Information Systemsunmatched
Microsoft Windows Azureunmatched
OLAP (OnLine Analytical Processing)unmatched
Oracleunmatched
Oracle Databaseunmatched
Performance Tuning/Optimizationunmatched
Process Improvementunmatched
Python Programming/Scripting Languageunmatched
Query Optimizationunmatched
SQL (Structured Query Language)unmatched
Scala Programming Languageunmatched
Scalable System Developmentunmatched
Software Engineeringunmatched
🎯
Be found by employers
5,500+ employers search our resume database daily. Add yours to get found by recruiters looking for candidates like you.
Level up your application
Professional resume templates
Browse dozens of recruiter approved resume templates, layouts and formats. Choose your favorite and make it your own in minutes.