Data Engineer – Python

Job Description

What You’ll Do :

Data Engineering & Pipeline Development : Design and maintain backend data ingestion and embedding pipelines. Work hands-on with JupyterHub to set up environments, clone repositories, and run complex workflows.

Graph Database & Knowledge Management : Use Neo4jNeo4j to build graph-based solutions that map knowledge articles and workflows. Contribute to schema design, data integration, and performance tuning.

Data Quality & Optimization : Troubleshoot data quality issues, optimize Spark jobs, and manage partition sizes. Convert ECS direct connections to IO Meet using Spark and Python.

Authentication & Security : Solve JWT authentication challenges, research Kerberos for secure cluster connectivity, and manage credentials for Oracle DB and API clients.

DevOps & Collaboration : Work with GitLab for source control and Jira for project tracking. Participate in migrations from Azure DevOps to modern tools.

Your Tech Playground :

Programming & Tools : Python, JupyterHub, GitLab

Databases : Oracle DB, PostgreSQL + PGVector

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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