Data Engineering Consultant - Azure Data Factory at Universal Health Group

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

25 Aug, 26

Salary

0.0

Posted On

27 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Factory, Snowflake, SQL, ETL/ELT, Data Modeling, Dimensional Modeling, Azure Blob Storage, ADLS, Power BI, CI/CD, Azure DevOps, Git, Python, Spark, Data Warehousing, Data Governance

Industry

Hospitals and Health Care

Description

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 Data Engineer to join our data engineering team and help design, build, and maintain scalable data pipelines and data platforms. The ideal candidate will have solid hands-on experience with Azure Data Factory and Snowflake, and will work closely with business, analytics, and downstream reporting teams to deliver reliable, high quality data solutions. Primary Responsibilities: Design, develop, and maintain end-to-end data pipelines using Azure Data Factory (ADF) Build and optimize data models and transformations in Snowflake Develop ELT/ETL workflows to ingest data from multiple sources (databases, APIs, files, cloud storage) Ensure data quality, consistency, and reliability across pipelines Implement incremental loads, CDC, and error handling mechanisms Optimize Snowflake performance through clustering, warehouse sizing, partitioning, and query tuning Implement monitoring, logging, and alerting for data pipelines Work closely with Power BI / reporting teams to enable analytics-ready datasets Follow best practices for security, data governance, and cost optimization Participate in code reviews, design discussions, and documentation 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: Technical Skills Solid hands-on experience with Azure Data Factory Pipelines, triggers, datasets, linked services Parameterized pipelines and dynamic mapping Solid experience with Snowflake SQL, views, stored procedures Performance tuning and cost optimization Experience with data warehousing concepts (fact/dimension tables, star schema) Experience working with cloud data sources (Azure Blob Storage, ADLS, S3, APIs, RDBMS) Understanding of ETL/ELT architectures Solid SQL skills and understanding of dimensional modeling Preferred Qualifications: Experience with Power BI or other BI tools Experience with CI/CD for data pipelines Experience with data governance and security models Knowledge of Azure DevOps / Git Exposure to Python or Spark Soft Skills Solid problem-solving and analytical skills Ability to work independently and within a team Good communication skills to work with technical and non-technical stakeholders Attention to detail and ownership mindset What We Offer Opportunity to work on modern cloud data platforms Exposure to enterprise-scale data systems Collaborative and learning-focused team environment Clear growth path toward Senior / Techno-Functional roles Competitive compensation and benefits 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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Responsibilities

Design, build, and maintain scalable end-to-end data pipelines using Azure Data Factory and Snowflake. Collaborate with analytics and reporting teams to deliver high-quality, analytics-ready datasets.