Data Engineering Consultant

Optum; Dadri; On-site; INR 2,800,000 - 5,200,000; Full time

Job summary

Optum is seeking a senior Data Engineering Consultant in India to design scalable data pipelines, implement IDM data integration, and enforce governance for identity data. The role requires hands-on Azure Data Factory/Databricks experience, strong SQL/Python/PySpark, and expertise in ETL/ELT development.

Join a global health tech leader to deliver identity analytics, access reviews, and audit-ready data solutions, leveraging cloud-native platforms and advanced AI techniques.

Qualifications

• 7.5+ years of data engineering experience.
• Hands-on with Azure Data Factory or Databricks.
• Experience with Generative AI technologies (OpenAI, Claude, Gemini, Lang Chain, RAG, vector databases, prompt engineering, fine-tuning).
• Experience with data governance, data quality, and metadata management.
• Strong SQL, Python, PySpark and ETL/ELT development skills.

Responsibilities

• Design and implement scalable data pipelines
• Develop IDM data integration solutions
• Implement data validation, cleansing, reconciliation, and governance frameworks for identity data
• Design and optimize data models, data lakes, and warehouse structures for identity analytics, access reviews, and audit requirements
• Design and implement solutions using Azure Data Factory, Databricks, SQL, Spark or equivalent cloud-native data platforms
• Optimize ETL/ELT processes, automate data workflows, and improve pipeline reliability, scalability, and monitoring
• Ensure data engineering solutions comply with security standards, privacy regulations, audit requirements and IAM policies
• Collaborate with IDM architects, security teams, application owners, and business stakeholders to define data requirements and deliver enterprise identity data solutions
• Comply with all applicable company policies and changes including work location, team assignments, work schedules and flexible work arrangements

Skills

Data Engineering

Generative AI

Data governance

SQL

Python

PySpark

ETL/ELT

Tools

Azure Data Factory

Databricks

Job description

Improve the lives of others while Caring. Connecting. Growing together.

Job Description - Data Engineering Consultant (2388081)

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:

• Design and implement scalable data pipelines
• Develop IDM data integration solutions
• Implement data validation, cleansing, reconciliation, and governance frameworks to ensure accuracy and consistency of identity-related data
• Design and optimize data models, data lakes, and warehouse structures to support identity analytics, access reviews, compliance reporting, and audit requirements
• Design and implement solutions using Azure Data Factory, Databricks, SQL, Spark, or equivalent cloud-native data platforms
• Optimize ETL/ELT processes, automate data workflows, and improve pipeline reliability, scalability, and monitoring
• Ensure data engineering solutions comply with security standards, privacy regulations, audit requirements, and enterprise IAM policies
• Work closely with IDM architects, security teams, application owners, and business stakeholders to define data requirements and deliver enterprise identity data solutions
• 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:

• 7.5+ years of experience in Data Engineering
• Hands-on experience with Azure Data Factory, Databricks, or equivalent cloud platforms
• Hands on experience in Generative AI technologies including OpenAI, Claude, Gemini, Lang Chain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning
• Experience with data governance, data quality, and metadata management frameworks
• Solid SQL, Python, PySpark, and ETL/ELT development experience

Preferred Qualifications:

• Proven excellent communication and teamwork skills
• Demonstrated great attention to detail
• Demonstrated organizational skills
• Demonstrated an analytical mind

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 is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1-866-566-8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.

UnitedHealth Group is a registered service mark of UnitedHealth Group, Inc. The UnitedHealth Group name with the dimensional logo, as well as the dimensional logo alone, are both service marks for the UnitedHealth Group, Inc.

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.