Senior Data Engineer - Go And Python + Apache Kafka

Hyderabad, Telangana
Permanent
Full-time

17 days ago

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.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. Manages 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. - Basic, structured, standard approach to work.Primary Responsibilities:

Designing, coding, testing, debugging, documenting, and supporting the application consistent with established specifications and business requirements to deliver business value
Aggregate and transform raw data coming from a variety of data sources to fulfill the functional and non-functional business needs
Drive Automation and create reusable components to help build efficiency in the team
Take initiatives, be a self-starter and perform as an integral part of the development team
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:

Education and Experience

Bachelor’s degree or equivalent professional experience
2+ years of hands-on experience in ELT development and data analysis using dbt, SQL, and Snowflake
Data Engineering and Modeling

Experience designing and orchestrating workflows using Apache Airflow
Proficient in building scalable data transformation pipelines using DBT for Snowflake
Proven solid analytical skills in data extraction, manipulation, and reporting
Domain Expertise

Solid understanding of the healthcare domain, including claims, member, and provider data
Technical Proficiencies

Cloud Technologies: Hands-on experience with Microsoft Azure, particularly Azure Data Factory (ADF) and Azure Databricks
Data Transformation and Modeling: Expertise in dbt (Data Build Tool) for modular and maintainable data pipelines
CI/CD and DevOps: Familiar with Jenkins and GitHub Actions for continuous integration and deployment
AI and Automation: Exposure to Generative AI tools including Microsoft Copilot Studio, Power Automate, and M365 Copilot for intelligent automation and productivity enhancement
Data Warehousing: Proficient in Snowflake for cloud-native data warehousing and analytics
Programming and Big Data: Proven skilled in Python for scripting and automation; experience with Apache Spark and Scala for distributed data processing
Demonstrated ability to design solutions independently based on high-level architecture
Demonstrated ability to prioritize and manage multiple tasks
Demonstrated ability to quickly learn new business area or technical skills based on project needs
Demonstrated ability to be flexible to adapt to changes, supporting continuous improvement, and perform multiple responsibilities as required by the project team
Proven excellent verbal, written communication, and presentation skills
Proven solid facilitation, critical thinking, problem solving, decision making and analytical skills

Preferred Qualifications:

Visualization and ETL Tools

Experience with Informatica for ETL development
Familiarity with data visualization tools such as Tableau and/or Power BI

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.

UnitedHealth Group

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