Senior Data Engineer
Tasks
- Architect scalable reliable cost efficient pipelines
- Build and optimize DataBricks workflows
- Collaborate on data products requirements
- Define canonical data models
- Design production data pipelines
- Develop data integrations and APIs
- Ensure reliability with retries idempotency
- Implement data governance security compliance
- Implement data quality validation testing
- Mentor engineers and set best practices
- Troubleshoot and optimize data infrastructure
Perks/Benefits
- Academic teaching support
- Company events
- Flexible working hours
- Health insurance
- Knowledge sharing sessions
- Professional development
- Speaking engagements support
- Summer office initiative
- Team events
- Training and certifications
- Unlimited home office
- Winter office initiative
Skills/Tech-stack
API Development | AWS | Access Control | Apache Kafka | Apache Spark | Autoloader | Azure | Data Governance | Data Modeling | Data Quality | Data Testing | Data Validation | Data Warehousing | Databricks | Delta Lake | Delta Live Tables | Delta Live) | Dimensional Modeling | ELT | ETL | Entity Data Modeling | Entity data | Google Cloud | Lakehouse | Medallion Architecture | Performance Tuning | Python | SCD Type-2 | SQL | Type 2) | Unity Catalog
Education
Roles
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