Data Engineer
Mumbai, Maharashtra, India
INR 1400K-1800K (estimate) Senior-level Full Time
Tasks
- Build and maintain Data Factory pipelines for API ingestion
- Build and optimize Power BI semantic models in Direct Lake
- Create Dataflows Gen2 for Excel and CSV data preparation
- Develop Python ETL scripts for data extraction and ingestion
- Develop and maintain Spark Python notebooks and SQL transformations
- Implement data quality frameworks and validation
- Implement incremental loads watermarking and CDC patterns
- Integrate 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 capacity cost optimization
- Own Bronze to Silver transformations for cleansing and deduplication
- Own Silver to Gold transformations for fact and dimension modelling
- Prepare feature datasets for AI and ML workloads
Perks/Benefits
Skills/Tech-stack
ACID transactions | AI Ready | AI Ready Datasets | API | Anomaly Detection | Azure Data Factory | Azure DevOps | BI semantic models | CDC | CI/CD | DAX | Data Factory | Data Quality | Data Validation | Dataflows Gen2 | Dimensional Modelling | Direct Lake | Feature Engineering | Git | Incremental loading | Lakehouse | Machine Learning | Microsoft Azure | Microsoft Azure Data | Microsoft Azure Data Factory | Microsoft Fabric | OData | OneLake | Partitioning strategies | Power BI | Power BI Semantic Models | Power Query | PySpark | Python | REST | SCD | SQL | Schema evolution | Semantic models | Slowly Changing Dimensions | Star Schema | Warehouse | Watermarking
Education
N/A
Roles
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