ETL/Python Developer
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Role details
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Job description
- Design, develop, and maintain enterprise level Dashboards/Reports using
- Build and optimize scalable data processing solutions using Python
- Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care)
- Write and optimize SQL and stored procedures across relational platforms such asTeradata
- Participate in cloud migration and modernization initiatives within Azure-based architectures
- Support production operations, incident resolution, and root-cause analysis
- Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub
Requirements
The ideal candidate brings strong Tableau and Python engineering expertise, experience working with large healthcare datasets, and the ability to operate effectively in a regulated, audit-sensitive environment. This is a delivery-focused role requiring close collaboration with architects, analysts, QA, PMs, SMEs, developers, and reporting BI teams across both legacy and cloud-based platforms., * 5+ years of Reporting and Dashboard with a focus on enterprise data warehousing
- 5+ years of hands-on Reports and Dashboard development using Tableau, Business Objects.
- 5+ years of Python development for data engineering and automation
- 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent)
- Strong SQL expertise and experience with relational databases (such as Teradata, Snowflake, Oracle, SQL Server)
- Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
- Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field
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Strong analytical, problem-solving, and troubleshooting skills Preferred Qualifications
- Experience supporting
- Healthcare or public-sector analytics experience (Medicaid / Medicare preferred)
- Data modeling experience in enterprise data warehouse environments
- Scripting experience (PowerShell, Bash) for automation and orchestration
- Experience designing or consuming APIs (REST) within data platforms
- Familiarity with data quality frameworks, reconciliation, and audit support
- Azure certifications related to data engineering or analytics
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