Data Principal Engineer
INR 1500K-2500K (estimate) Senior-level Full Time
Tasks
- Collaborate with architects platform engineers BI QA AI ML teams and stakeholders
- Conduct technical design reviews code reviews performance reviews deployment readiness reviews
- Define data engineering standards
- Define data quality reconciliation logging error handling auditability lineage
- Develop Fabric Pipelines and Dataflows Gen2
- Ensure data solution scalability performance reliability
- Implement Medallion Architecture layers
- Implement data processing frameworks
- Lead design scalable data pipelines
- Manage Lakehouse tables Warehouse objects curated datasets
- Mentor data engineering teams
- Oversee data ingestion transformation orchestration validation publication
- Support deployment planning release activities production support operational handover
Perks/Benefits
- N/A
Skills/Tech-stack
ADLS Gen2 | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure SQL | Azure Synapse | Azure Synapse Analytics | BI Integration | CI/CD | Data Factory | Data Lake Storage Gen2 | Data Modeling | Data Pipelines | Data Processing | Data Quality | Data Reconciliation | Databricks | Dataflows Gen2 | Delta Lake | Dimensional Modeling | Distributed data | Distributed data processing | ELT | ETL | Error Handling | Git | Lakehouse | Logging | Medallion Architecture | Microsoft Fabric | Microsoft Purview | Monitoring | Notebooks | OneLake | Pipelines | Power BI | Power BI integration | PySpark | Python | SQL | Star Schema | Synapse Analytics | Warehouse
Education
N/A
Roles
Data Engineer | Data Engineering | Data Engineering Lead | Engineer | Engineering Lead | Lead
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