Senior Data Engineer
Tasks
- Build modular reusable data models
- Communicate technical concepts and project risks
- Design and develop scalable ETL/ELT pipelines
- Follow software engineering best practices
- Implement data quality, validation, and monitoring
- Improve data platform performance and scalability
- Maintain batch and streaming data pipelines
- Mentor engineers through code reviews
- Participate in technical design and architecture reviews
Perks/Benefits
- 401k match
- Commuter benefits
- Family planning support
- Fitness benefits
- Mental health support
- Paid sick leave
- Paid time off
- Pet insurance
Skills/Tech-stack
AWS | Apache Airflow | Apache Kafka | Apache Spark | Cloud Computing | Cloud platform | Compliance | DBT | Data Governance | Data Modeling | Data Observability | Data Privacy | Data Quality | Data Warehousing | Databricks | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | Microsoft Azure | Python | SQL | Scala | “as-code”
Education
N/A
Roles
Regions
Countries
States
Cities
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