Job Summary
A company is looking for a Senior Data Engineer to design, build, and maintain scalable data pipelines and architectures.
Key Responsibilities
- Collaborate with cross-functional teams to gather and refine data requirements for Denials AI solutions
- Design, implement, and optimize ETL/ELT pipelines using Python, Dagster, DBT, and AWS data services
- Monitor pipeline health, troubleshoot data incidents, and enforce data quality and governance standards
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
- 5+ years of hands-on experience building and operating production-grade data pipelines
- Solid experience with workflow orchestration tools (Dagster) and transformation frameworks (DBT)
- Strong SQL skills on PostgreSQL for data modeling and query optimization
- Working knowledge with AWS data services: Athena, Glue, SQS, and CloudWatch
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