Senior Data Engineer
Tasks
- Build ELT pipelines
- Build data models
- Collaborate with analysts
- Collaborate with data scientists
- Conduct architecture reviews
- Create reusable data assets
- Design ETL pipelines
- Develop batch data pipelines
- Develop streaming data pipelines
- Follow software engineering best practices
- Implement data validation
- Improve data platform performance
- Improve developer experience
- Improve scalability
- Maintain data pipelines
- Mentor junior engineers
- Participate in technical design discussions
- Perform code reviews
- Set up data monitoring
- Translate business needs into data solutions
- Write technical documentation
Perks/Benefits
- 401k match
- Commuter benefits
- Company holidays
- Family planning benefits
- Fertility benefits
- Fitness benefits
- Health insurance
- 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 | Code review | 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 | Testing | Version control | “as-code”
Education
N/A
Roles
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