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Job Description
Full-time
Remote in India
Required Working hours: 9 AM-5 PM EST Duties & Responsibilities
Collaborate with the Team Lead and 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 (Athena, Glue, SQS).
Develop and maintain data models in PostgreSQL; write efficient SQL for querying and performance tuning.
Monitor pipeline health and performance; troubleshoot data incidents and implement preventive measures.
Enforce data quality and governance standards, including HIPAA compliance for PHI handling.
Conduct code reviews, share best practices, and mentor junior data engineers.
Automate deployment and monitoring tasks using infrastructure-as-code and AWS CloudWatch metrics and alarms.
Document data workflows, schemas, and operational runbooks to support team knowledge transfer.
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) or other similar tools such (Microsoft SSIS, AWS Glue, Air Flow).
- Strong SQL skills on PostgreSQL for data modeling and query optimization or any other similar technologies (Microsoft SQL Server, Oracle, AWS RDS).
- Working knowledge with AWS data services: Athena, Glue, SQS, SNS, IAM, and CloudWatch.
- Basic proficiency in Python and Python data frameworks (Pandas, PySpark).
- Experience with version control (GitHub) and CI/CD for data projects.
- Familiarity with healthcare data standards and HIPAA compliance.
- Excellent problem‑solving skills, attention to detail, and ability to work independently.
- Strong communication skills, with experience mentoring or leading small technical efforts.
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