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Optum

Senior Business System Analyst - Python, Azure Databricks

Posted Yesterday
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In-Office
Gurgaon, Gurugram, Haryana
Senior level
In-Office
Gurgaon, Gurugram, Haryana
Senior level
Designs and supports scalable data pipelines, ETL/ELT solutions, data models, and cloud-native data engineering platforms using Python, SQL, Databricks, PySpark, and Azure. Translates business requirements into technical solutions, ensures data quality and performance, troubleshoots production issues, supports automation, and collaborates with business, analytics, engineering, and offshore teams.
The summary above was generated by AI
Requisition Number: 2395726
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
We are looking for a highly motivated Sr Business System Analyst/ Business System Analyst to join our team at Optum. The ideal candidate will be responsible for designing, developing, and supporting scalable data solutions using cloud and big data technologies. The role requires solid expertise in SQL, Python, Databricks, and Azure Cloud, with exposure to healthcare data being an added advantage.
The candidate will work closely with business stakeholders, analysts, and technology teams to understand their requirements and build strategies to support them via robust data pipelines, automate processes, and high-quality analytics solutions.
Primary Responsibilities:
  • Design, develop, and maintain scalable data pipelines and ETL/ELT solutions
  • Develop and optimize complex SQL queries, stored procedures, and data models
  • Build and maintain data solutions using Python and Databricks
  • Develop cloud-native data engineering solutions on Azure
  • Ensure data quality, integrity, security, and performance across platforms
  • Analyze business requirements and translate them into technical solutions
  • Participate in code reviews and adhere to development best practices
  • Troubleshoot production issues and support ongoing enhancements
  • Collaborate with cross-functional teams including Business, Analytics, and Engineering teams
  • Contribute to automation initiatives and process improvements
  • Partner with business stakeholders, product owners, and cross-functional teams to understand business requirements and translate them into scalable technical solutions
  • Drive automation and continuous process improvement initiatives
  • Collaborate with onsite and offshore teams to deliver projects within agreed timelines
  • Communicate project status, risks, dependencies, and technical recommendations to stakeholders
  • Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
  • 4+ years of experience in Data Engineering, Analytics Engineering, or Big Data development
  • Experience designing end-to-end data engineering solutions
  • Experience mentoring junior team members and driving technical initiatives
  • Advanced expertise in SQL and performance tuning
  • Solid hands-on development experience in Python
  • Extensive experience with Databricks and PySpark
  • Solid knowledge of Azure Cloud ecosystem (Azure Data Factory, Azure Storage, Azure SQL, Azure Databricks, Azure DevOps).
  • Solid understanding of SDLC, CI/CD, and cloud engineering best practices

Preferred Qualifications:
  • Experience with Selenium automation
  • Experience building dashboards and reports in Power BI
  • Experience with Azure DevOps and Git version control
  • Experience with PySpark and big data technologies
  • Knowledge of US Healthcare domain
  • Exposure to healthcare data standards, claims data, HEDIS, quality measures, or provider/member data
  • Familiarity with Agile/Scrum methodologies

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

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