Principal Data Engineer
Bangalore,INKA,India
INR 2040K-3000K (estimate) Senior-level Full Time
Tasks
- Architect ML ready data solutions
- Build batch and near real time data pipelines
- Define and monitor SLAs and SLOs
- Define data quality lineage governance observability standards
- Develop feature engineering and data preparation workflows
- Enable ML teams with trusted reproducible datasets
- Implement CDC and ELT patterns
- Integrate with Vertex AI feature stores and inference pipelines
- Lead data platform reliability scalability and governance
- Modernize legacy ETL into cloud optimized ELT
- Set coding testing and deployment standards
Perks/Benefits
- N/A
Skills/Tech-stack
BigQuery | CDC | Cloud Composer | Cloud Storage | Data Fusion | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Quality | DataOps | Dataform | Dataproc | Distributed Computing | Docker | ELT | Feature Store | Kubernetes | Lakehouse | MLOps | Metadata Management | Python | SLAs | SLOs | SQL | Spark | Vector Databases | Vertex AI
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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