Sr. Data Engineer
Tasks
- Automate platform operations
- Build pipelines as code with reusable components
- Create and maintain documentation for data workflows
- Design data models and validate with stakeholders
- Develop SQL transformations and queries
- Establish data quality checks and validation frameworks
- Implement continuous integration and continuous deployment patterns for data pipelines
- Implement logging metrics alerting and operational runbooks
- Integrate multiple data sources into enterprise data platform
- Lead data pipeline design development and maintenance
- Mentor engineers and conduct code reviews
- Monitor and optimize pipeline performance reliability
- Participate in agile planning and estimation
Perks/Benefits
- 401k matching
- Career development opportunities
- Employee resource groups
- Fitness reimbursement
- Flexible work schedule
- Health insurance
- Mental wellbeing support
- On-demand learning
- Paid time off
- Parental leave
- Stock purchase plan
- Tuition reimbursement
- Tuition support
- Volunteer opportunities
- Wellness incentive program
Skills/Tech-stack
Airflow | Automated testing | CloudFormation | Code review | Continuous Deployment | Continuous integration | DBT | Data Modeling | Database Design | Databricks | Databricks Workflows | Extract Load Transform | Extract Transform | Extract Transform Load | Git | Informatica | Infrastructure as Code | PySpark | Python | Query Language | SQL | Snowflake | Structured Query | Structured Query Language | Talend | Terraform | Version control | “as-code”
Education
Roles
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