Data Engineer
INR 1500K-2500K (estimate) Senior-level Full Time
Tasks
- Build Lakehouse and warehouse solutions in Microsoft Fabric
- Build batch and real-time data pipelines
- Collaborate with architects BI developers and stakeholders to translate requirements
- Design data models for analytics platforms
- Design data platforms using Microsoft Fabric and Databricks
- Develop Lakehouse data models using Delta tables
- Develop and maintain ETL/ELT pipelines
- Develop data integration frameworks for enterprise sources
- Ensure data security, governance, and compliance
- Implement Databricks workflows and job orchestration
- Implement Power BI semantic models and datasets in Fabric
- Implement data ingestion from structured semi structured and streaming sources
- Implement data validation, lineage, and monitoring
- Implement dimensional models using star and snowflake schemas
- Manage Delta Lake architecture
- Optimize Spark workloads for performance and scalability
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | CI/CD | Compliance | Data Governance | Data Lake | Data Lake Storage | Data Lineage | Data Monitoring | Data Processing | Data Security | Data Validation | Data Warehouse | Data Warehouse Design | Delta Lake | Dimensional Modeling | Distributed data | Distributed data processing | ELT | ETL | Git | Lakehouse | Microsoft Fabric | Power BI | PySpark | SQL | Snowflake Schema | Spark SQL | Star Schema | Warehouse design
Education
N/A
Roles
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