Data Engineer
Mumbai, Maharashtra, India
INR 1400K-1800K (estimate) Senior-level Full Time
Tasks
- Build Bronze to Silver transformations cleansing and deduplication
- Build Silver to Gold transformations star schema and fact dimension modelling
- Build and maintain Data Factory pipelines for API ingestion
- Build and optimize Power BI semantic models Direct Lake
- Create Dataflows Gen2 for Excel CSV data cleansing
- Develop Python ETL scripts for extraction and file ingestion
- Develop and maintain Spark Python notebooks and SQL transformations
- Implement data quality frameworks validation and anomaly detection
- Implement incremental loads watermarking and CDC patterns
- Integrate data from Dataverse and enterprise sources into Fabric
- Maintain documentation data dictionaries and architecture decisions
- Manage Fabric capacity pause resume scheduling and scaling
- Monitor pipeline performance platform health and Fabric capacity
- Prepare datasets for reporting and analytics
- Prepare feature datasets for AI ML workloads
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Apache Spark | Azure DevOps | Azure DevOps Pipelines | CDC | CI/CD | Change Data Capture | DAX | DAX Query | Data Capture | Data Factory | Data Quality | Data Validation | Dataflows Gen2 | Dataverse | DevOps Pipelines | Dimension Modelling | Dimensional Modeling | Direct Lake | ETL | Fact Dimension Modelling | Fact/Dimension | Git | Incremental loading | Lakehouse | Microsoft Data | Microsoft Data Factory | Microsoft Fabric | OData | OneLake | Power BI | Power BI Semantic Model | Power Query | PySpark | Python | REST | SCD | SQL | Semantic Model | Slowly Changing Dimensions | Star Schema | Warehouse | Watermarking
Education
N/A
Roles
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