Developing Data Pipelines:

• Creating and maintaining optimal data pipeline architectures to ensure efficient data flow and processing

Data Integration:

• Assembling large, complex data sets from various sources to meet business requirements

Process Improvement:

• Identifying and implementing internal process improvements, such as automating manual processes and optimizing data delivery

Infrastructure Building:

• Designing and building the infrastructure required for data extraction, transformation, and loading (ETL) using technologies like SQL and AWS Collaboration:
• Working with stakeholders, including data scientists, analysts, and executives, to support their data infrastructure needs and resolve data-related technical issues

Data Quality:

• Running tests to isolate errors and updating systems to accommodate changes in company needs.

1. Programming Languages: Familiarity with languages like Python or Java for data analysis and application development.
2. Data Modeling: Proficiency in creating logical and physical data models to represent business requirements and system architecture.
3. Data Warehousing: Understanding of data warehousing concepts, including data storage, retrieval, and optimization.
4. Data Security: Knowledge of data security best practices, encryption, and access controls.
5. ETL (Extract-Transform-Load): Expertise in ETL processes and tools like DBT (Data Build Tool) and DBT framework/packages
6. Database Management Systems (DBMS): Proficiency in relational databases (e.g., Microsoft SQL Server) and NoSQL databases.
7. Cloud Computing: Understanding of cloud platforms (e.g., Azure, AWS, GCP) and their data services.
8. Delta Lake: Familiarity with Delta Lake, an open-table format that combines data lake flexibility with ACID transactions.

9. Medallion Architecture: Knowledge of the medallion architecture, which organizes data layers (Bronze, Silver, Gold) in a lakehouse.

10. Data Vault: Understanding of the Data Vault methodology for scalable and flexible data warehousing.

11. Azure Data Factory (ADF): Proficiency in using ADF for orchestrating data workflows, data movement, and transformation.

12. Experience with DBT Core

13. Health care domain knowledge

Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.SM

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.