Principal Engineer -Data Engineering
INR 3584K-4580K (estimate) Senior-level Full Time
Tasks
- Apply engineering rigor automation testing and secure coding
- Architect data modernization for HR enterprise
- Collaborate with architecture product analytics and risk teams
- Deliver scalable secure resilient data platform operations
- Design develop optimize and maintain data pipelines
- Develop lakehouse based data platforms
- Drive migration from legacy data platforms to cloud native architectures
- Ensure data security and governance
- Implement lineage observability and drift detection
- Implement metadata driven scalable data engineering frameworks
- Lead GenAI and AI enablement governance
- Lead data engineering strategy and roadmap
- Mentor data engineering teams and engineers
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Alation | Apache Airflow | Apache Beam | Apache Spark | Azure Data | Azure Data Factory | Azure Fabric | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | Azure Real Time Analytics | Azure Synapse | Azure Synapse Analytics | Chunking | Cloud Composer | Cloud Storage | Collibra | Data Catalog | Data Factory | Data Governance | Data Lineage | Data Modeling | Dataplex | Dataproc | Docker | Drift Detection | ELT | ETL | Embeddings | Generative AI | Google BigQuery | Google Dataflow | Kubernetes | Kubernetes Service | Lakehouse | Machine Learning | Microservices | Microsoft Purview | Observability | OneLake | Power BI | PubSub | Python | Real-time analytics | Retrieval-Augmented Generation | SQL | Serverless | Synapse Analytics
Education
N/A
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