Data Engineering Lead

Optum India; Hyderabad; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Optum India is seeking a skilled Data Engineer to design and manage scalable data pipelines and architectures across cloud platforms. You will improve data quality, integrity, and availability while collaborating with business, analytics, and product teams to deliver reliable data solutions.

The role emphasizes distributed processing, modern data platforms such as Databricks and Snowflake, and automation through CI/CD.

Qualifications

• Bachelor's degree in engineering or related field (B.Tech./MCA/Graduation).
• 5+ years of solid proficiency in data engineering technologies such as Python/Spark.
• 4+ years hands-on with cloud platforms (Azure/AWS/GCP) and data services.
• Experience with infrastructure-as-code tools (e.g., Terraform, ARM templates).
• Knowledge of data cataloging, lineage, and metadata tools.
• Exposure to modern data platforms (Databricks, Snowflake).
• Strong written and verbal communication and coordination skills.

Responsibilities

• Develop scalable, reliable, and efficient data pipelines and architectures.
• Optimize and maintain data platforms for performance, cost, and reliability.
• Ensure data quality, integrity, and availability across systems.
• Implement optimized data transformations leveraging distributed processing.
• Work closely with business, analytics, and product teams to understand requirements.
• Implement data validation and monitoring frameworks.
• Participate in meetings and ensure compliance with standards and processes.
• Automate deployments using CI/CD pipelines.
• Comply with terms and conditions of the employment contract, company policies and procedures.

Skills

Python/Spark

Cloud platforms

Data pipelines

CI/CD

Communication

Education

B.Tech./MCA/Graduation

Tools

Terraform

ARM templates

Databricks

Snowflake

Job 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 startCaring. Connecting. Growing together.

Primary Responsibilities

• Develop scalable, reliable, and efficient data pipelines and architectures
• Optimize and maintain data platforms for performance, cost, and reliability
• Ensure data quality, integrity, and availability across systems
• Implement optimized data transformations leveraging distributed processing
• Work closely with business, analytics, and product teams to understand requirements
• Implement data validation and monitoring frameworks
• Participate in meetings/walkthrough session/group meetings. Ensure compliance with organization and project defined standards and processes
• Automate deployments using CI/CD pipelines
• 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

• B.Tech./MCA/Graduation (15+ years of formal education, correspondence courses are not relevant)
• 5+ years of solid proficiency in data engineering technologies such as Python/Spark
• 4+ years of hands-on experience with cloud platforms (Azure/AWS/GCP) and data services
• Experience with infrastructure-as-code tools (e.g., Terraform, ARM templates)
• Knowledge of data cataloging, lineage, and metadata tools
• Exposure to modern data platforms (e.g., Databricks, Snowflake)
• Proven excellent written and verbal communication skills, coordination skills

Preferred Qualifications

• Experience working in enterprise environments with complex data landscapes
• Healthcare Domains exposure
• AI exposure, able to use LLM models etc.
• Airflow exposure

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.