Data Engineer - Python/Oracle/Spark

Indent : PSL307991-17-1

Role : Data Engineer - Python/Oracle/Spark

Location :CHARLOTTE, NC (Hybrid)

Salary : $58/hr

We are looking for a hands-on Data Engineering professional with strong experience in database technologies, Linux-based environments, Python-based data processing, DevOps deployment practices, and cloud/platform migration initiatives. The ideal candidate should be comfortable working across data engineering, application deployment, and migration programs, with the ability to collaborate across development, operations, and business teams.

Primary Skills

● Strong hands-on experience withOracle Database, including SQL development, performance tuning support, data analysis, and database migration-related activities.

● Proficiency inLinux/Unix environments, including shell scripting, command-line troubleshooting, job execution, and environment-level support.

● Strong programming experience inPython, with practical exposure to data manipulation and processing usingPandasandPolars.

● Experience working with distributed data processing frameworks such asApache Sparkfor large-scale data transformation and processing.

● Working knowledge of source code management and CI/CD practices usingGitLab.

● Hands-on experience with deployment and release automation tools such asuDeployandHarness.

● Experience supporting application, database, or workload migration initiatives involvingOCP / OpenShift Container Platform.

● Ability to analyze existing applications, data pipelines, dependencies, and platform components to support migration planning and execution.

● Strong troubleshooting skills across database, application, batch processing, and deployment layers.

● Ability to work in an Agile delivery environment and collaborate effectively with cross-functional teams.

Secondary Skills

● Familiarity with theSoftware Development Life Cycle (SDLC), including requirements analysis, design, development, testing, deployment, and production support.

● Exposure toAb InitioETL toolset and related data integration concepts would be highly advantageous.

● Understanding of data warehousing, ETL/ELT processing, batch workflows, scheduling, and operational support processes.

● Experience in migration, modernization, or platform upgrade programs involving legacy data systems would be a plus.

● Good communication skills with the ability to document technical findings, migration steps, issues, and resolution details.