What are the responsibilities and job description for the Teradata Engineer & Python position at Jobs via Dice?
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Python Teradata Engineer
(Framework / POC / Platform Capability Role)
Primary focus: Build frameworks, conduct POCs, and integrate Python-based automation and analytics with Teradata.
Framework & Tooling Development:
Python Teradata Engineer
(Framework / POC / Platform Capability Role)
Primary focus: Build frameworks, conduct POCs, and integrate Python-based automation and analytics with Teradata.
Framework & Tooling Development:
- Develop Python-based frameworks for automation, data processing, orchestration, and Teradata interactions (using teradatasql, pyodbc, etc.).
- Build reusable modular libraries for logging, error handling, connection pooling, monitoring, and ETL/ELT operations.
- Create CI/CD pipelines for Python applications running on Teradata platforms.
- POC Evaluation & Capability Enablement
- Perform Proof-of-Concept evaluations for new technologies, tools, and frameworks to extend platform capabilities.
- Analyze potential integrations (Python APIs, LLM tools, data processing engines) and validate their performance and security within the bank’s ecosystem.
- Present feasibility reports, architectural considerations, and implementation recommendations.
- Design, develop, and test Python applications, ETL logic, and automation pipelines connected to Teradata.
- Create unit tests, functional tests, and automated regression suites following enterprise QA standards.
- Production Support & Operational Excellence
- Support production applications running Python–Teradata workflows.
- Troubleshoot complex issues involving data connectivity, query performance, and job failures.
- Optimize code for concurrency, efficiency, exception handling, and platform resiliency.
- Cross-Functional Collaboration
- Work with data engineers, DBAs, system architects, and platform engineering to ensure consistent integration patterns.
- Document new capabilities and train internal teams on framework adoption.