Senior Data Engineering Lead

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.

Primary Responsibilities:

• Participate in scrum process and deliver stories/features according to the schedule
• Collaborate with team, architects and product stakeholders to understand the scope and design of a deliverable
• Participate in product support activities as needed by the team.
• Understand product architecture, features being built and come up with product improvement ideas and POCs
• 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:

• Undergraduate degree or equivalent experience
• Deep experience in Data Analysis, including source data analysis, data profiling and mapping
• Good experience in building data pipelines using ADF/Azure Databricks
• Proven hands-on experience with a large-scale data warehouse
• Experience with DevOps, implementation of Bigdata, Apache Spark and Azure Cloud
• Experience with Large scale data processing using PySpark on azure ecosystem
• Experience with implementation of self-service analytics platform ETL framework using PySpark on Azure
• Hands-on data migration experience from legacy systems to new solutions, such as from on-premises clusters to Cloud
• Tools/Technologies:
  • Programming Languages: Python, PySpark
  • Cloud Technologies: Azure (ADF, Databricks, WebApp, Key vault, SQL Server, function app, logic app, Synapse
    Azure Machine Learning, DevOps)
• Solid proficiency in SQL and complex queries
• Proven expert skills in Azure data processing tools (Azure Data Factory, Azure Databricks)
• Proven ability to learn and adapt to new data technologies
• Proven good problem solving skills
• Proven good communication skills

Preferred Qualifications:

• Knowledge/Experience on Azure Synapse and Power BI
• Knowledge on US healthcare industry/Pharmacy data

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.