Data Integration Engineer
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Job Description
Data Integration Engineer creating scalable data pipelines for Risk Adjustment applications. Collaborating with platform engineering, product, and implementation teams to ensure data integration.
Responsibilities:
- Design and develop data flows and extraction processes.
- Integrate client’s data into the Edifecs/Cotiviti Risk Adjustment Workflows.
- Work with relational databases and Python jobs.
- Implement open-source standards for data quality.
- Develop a new framework for data ELT jobs to scale implementation, monitoring, and quality.
- Build and scale automation that orchestrate complex workflows.
- Ability to support existing processes while leading efforts to redefine the data strategy.
Requirements:
- 3+ years of hands-on experience with relational database systems (PostgreSQL).
- 2+ years of hands-on experience developing ELT jobs/data pipelines within various technologies such as: Argo Workflows, cron, Airflow, dbt, great expectations.
- 2+ years of experience in Linux system.
- Proficiency in shell scripting and automation.
- Experience building reusable data methods and working with version control systems (git).
- 3+ years of hands-on experience with programming languages such as python.
- Plus - Experience with container deployment platforms and tools, such as Kubernetes, Docker, Helm, and Terraform.
- Plus - AWS Cloud experience: EC2, RDS, SQS, IAM, S3.
Benefits:
- Health insurance
- Flexible work arrangements
- Professional development
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