Senior Data Engineer
Tasks
- Align pipelines with data definitions lineage and business rules
- Build data transformation pipelines
- Conduct code reviews
- Coordinate delivery priorities with product and architecture teams
- Define canonical data models
- Define engineering standards and naming conventions
- Deliver production ready pipelines across ingestion transformation and serving layers
- Design SCD type 2
- Design data ingestion pipelines
- Develop data models
- Develop production grade pipelines with Databricks
- Ensure compliance with governance and security requirements
- Ensure pipeline reliability retries idempotency failure handling
- Ensure scalable maintainable pipeline architecture
- Implement Medallion Architecture pipelines
- Implement data quality validation
- Integrate outputs for API consumption
- Manage governed access with Unity Catalog
- Perform performance tuning for latency partitioning and freshness
- Set up testing patterns
Perks/Benefits
- Continuous training
- Fitpass membership
- Flexible hours
- Hybrid work model
- Private health insurance
- Professional growth
- Referral rewards program
- Unlimited Udemy courses
Skills/Tech-stack
API Integration | Autoloader | Data Governance | Data Quality | Data Testing | Data Validation | Databricks | Delta Lake | Delta Live Tables | Delta Live) | Dimensional Modelling | ELT | ETL | Entity Modelling | Idempotency | Lakehouse | Medallion Architecture | Partitioning | Performance Tuning | Retries | Retry Handling | SCD Type-2 | SQL | Slowly Changing Dimensions | Type 2) | Unity Catalog
Education
N/A
Roles
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