Senior Data Engineer
Tasks
- Build and maintain data platforms
- Collaborate with stakeholders on analytics machine learning needs
- Communicate technical concepts project status risks
- Create modular reusable data models
- Design ETL/ELT pipelines
- Develop batch and streaming data pipelines
- Ensure data quality accuracy consistency
- Evolve data platform tooling for performance scalability
- Implement data validation monitoring
- Mentor junior engineers through code reviews
- Participate in technical design architecture reviews
- Perform testing version control documentation code reviews
Perks/Benefits
- 401k match
- Commuter benefits
- Dental insurance
- Disability insurance
- Fitness benefits
- Life insurance
- Medical insurance
- Mental health support
- Paid Holidays
- Paid sick leave
- Paid time off
- Pet insurance
- Vision insurance
Skills/Tech-stack
AWS | Apache Airflow | Apache Kafka | Apache Spark | Azure | DBT | Data Governance | Data Modeling | Data Observability | Data Quality | Data Validation | Data Warehousing | Databricks | Google Cloud | Infrastructure as Code | Java | Python | SQL | Scala | “as-code”
Education
N/A
Roles
Regions
Countries
States
Cities
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