Sr. Data Engineer
Tasks
- Automate platform operations
- Build pipelines and workflows as code
- Create and maintain documentation for data workflows
- Create structured query language queries and transformations
- Design and manage data models
- Establish data quality checks and validation frameworks
- Implement CI/CD for data pipelines
- Implement logging metrics alerting and runbooks
- Integrate data from multiple sources into data platform
- Lead data pipeline design development and maintenance
- Mentor engineers and conduct code reviews
- Monitor and optimize pipeline performance and reliability
- Participate in agile ceremonies
Perks/Benefits
- 401k match
- Career development opportunities
- Employee resource groups
- Fitness reimbursement
- Flexible work schedule
- Mental wellbeing support
- On-demand learning
- Paid time off
- Parental leave
- Stock purchase plan
- Tuition reimbursement
- Volunteer opportunities
- Wellness incentive program
Skills/Tech-stack
Airflow | CloudFormation | Continuous Deployment | Continuous integration | DBT | Data Modeling | Data Quality | Database Design | Databricks | Databricks Workflows | ELT | ETL | Git | Informatica | Infrastructure as Code | PySpark | Python | SQL | Snowflake | Talend | Terraform | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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