Data Engineer
Guidehouse (company site, opens in a new tab)ChennaiOn-siteDirect career pageEst. 10–18 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Build, maintain, and support enterprise data ingestion pipelines and Bronze/Silver/Gold data transformations ensuring reliable, reusable datasets.
- Implement data validation and data-quality controls, monitor and troubleshoot production pipelines, and support assigned semantic models in partnership with Analytics.
- Maintain technical documentation and follow established security, development, and architecture standards set by Principal Data Platform Architect, ensuring consistent engineering delivery.
Minimum Requirements
- Hands-on experience building and supporting enterprise data pipelines and transformations with strong SQL and Python/PySpark or comparable tooling.
- Experience with Azure-based data platforms, Databricks, Microsoft Fabric or similar technologies, and implementing lakehouse architectures including Bronze/Silver/Gold patterns.
- Familiarity with GitHub-based CI/CD, testing, release management, and production monitoring/troubleshooting.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced data engineer with expertise in Azure and Databricks ecosystem and lakehouse architecture frameworks.
- Operationally focused professional able to deliver reliable data pipelines aligned to enterprise architecture and platform guardrails.
- Capable of collaborating closely with business and analytics teams to clarify data needs, support semantic models, and maintain thorough technical documentation.