Senior Data Engineer
Tasks
- Build and maintain production grade pipelines
- Collaborate on data lineage and business rules
- Create testing patterns
- Define and enforce engineering standards
- Define canonical data models
- Design SCD Type 2 patterns
- Design and implement data ingestion pipelines
- Design and implement data serving pipelines
- Design and implement data transformation pipelines
- Ensure pipeline reliability with retries and idempotency
- Ensure scalable maintainable and cost efficient pipeline architecture
- Handle failure modes
- Implement conformed dimensions
- Implement data quality rules and validation
- Implement shared reference data
- Lead code reviews and enforce documentation standards
- Partner on API consumption data structures
- Perform performance tuning latency partitioning compute efficiency
- Register govern and control access to platform assets
- Support data governance and security compliance
Perks/Benefits
- Continuous training
- Fitpass membership
- Flexible hours
- Hybrid working
- Private health insurance
- Referral rewards program
- Udemy courses
- Work permit support for Serbia
Skills/Tech-stack
API Integration | Access Control | Autoloader | Data Governance | Data Lineage | Data Modelling | Data Quality | Data Testing | Data Validation | Databricks | Delta Lake | Delta Live Tables | Delta Live) | Dimensional Modelling | ELT | ETL | Entity Data Modelling | Entity data | Idempotency | Lakehouse | Medallion Architecture | Performance Tuning | SCD Type-2 | SQL | Slowly Changing Dimensions | Type 2) | Unity Catalog
Education
N/A
Roles
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