Senior Data Engineer
Tasks
- Build scalable data pipelines and API integrations
- Develop data ingestion services and ETL processes
- Implement ETL standards based on industry best practices
- Implement stored procedures and data transformations
- Maintain data pipelines and data schemas
- Monitor data quality and ensure accurate production data
- Perform code and reporting reviews for quality assurance
- Prepare data quality reports and improvement recommendations
- Recommend solutions for data engineering areas
- Update data architecture for downstream data science
Perks/Benefits
- 401k match
- Career programs
- Company holidays
- Educational reimbursement
- Employee assistance program
- Employee referral program
- Flexible work arrangements
- HSA
- Hybrid work
- Medical/Dental/Vision
- Paid time off
- Wellness programs
Skills/Tech-stack
Apache Spark | Data Modeling | Data Pipelines | Databricks | ETL | Oracle | Power BI | Python | SQL | SQL Server
Education
N/A
Roles
Regions
Countries
States
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