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 Expert skills in Azure data processing tools (Azure Data Factory, Azure Databricks)
• Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles
• Responsibilities may include Platform-as-a-Service and Cloud solution with a focus on data stores and associated eco systems
• Duties may include management of design services, providing sizing and configuration assistance, ensuring strict data quality, and performing needs assessments
• Analyzes current business practices, processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities
• Manage relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition
• May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data Selects, develops and evaluates personnel to ensure the efficient operation of the function
• Analyzes and investigates
• Provides explanations and interpretations within area of expertise
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Bachelor's or master's degree in computer science, Engineering, Information Technology, or a related field
• DevOps, implementation of Bigdata, Apache Spark and Azure Cloud.
• Large scale data processing using PySpark on azure ecosystem.
• Experience in the implementation of self-service analytics platform ETL framework using PySpark on Azure
• Experience on building ML models
• 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
• Hands-on data migration experience from legacy systems to new solutions such as from on-premises clusters to Cloud, build apps using Azure Power Apps, Ability to learn and adapt to new data technologies
• Good Knowledge on Gen-AI, RAG's, LLM.
• Solid proficiency in SQL and complex queries
• Expert skills in Azure data processing tools (Azure Data Factory, Azure Databricks)
• Demonstrated ability to learn and adapt to new data technologies
• Proven good problem-solving skills
• Provide good communication skills

Preferred Qualifications:

• Knowledge/Experience in Power Apps using Azure and Good communication skills
• Knowledge of the US healthcare industry/Pharmacy data

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)
• ML Models, GPT, NLP Algorithms

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.