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Data Engineering Consultant

Hyderabad, Telangana

Pay
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Work setup
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Employment
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Apply at UnitedHealth Group

What you’ll work on

Full posting
  • Develop highly-scalable applications for the Azure cloud by building microservices, Azure functions, and patterns for public cloud enabling security and privacy at scale

  • Design and develop ETL/ELT solutions on Azure Databricks, LakeBase and Spark

  • Write advanced / complex SQL with performance tuning and optimization

From the employer’s posting
Develops services, controls, and reusable patterns that enable the team to deliver value safely, quickly, and sustainably in the public cloud Develop highly-scalable applications for the Azure cloud by building microservices, Azure functions, and patterns for public cloud enabling security and privacy at scale Foster high-performance, collaborative technical work resulting in high-quality output
Interact skillfully with business stakeholders and third-party technical organizations Design and develop ETL/ELT solutions on Azure Databricks, LakeBase and Spark Develop, implement, and deploy large scale data pipelines empowering machine learning algorithms, insights generation, business intelligence dashboards, reporting and new data products
Design, build, optimize, and manage modern large-scale data pipelines ETL/ELT processing to support data integration for analytics, machine learning features and predictive modelling Write advanced / complex SQL with performance tuning and optimization Build AI based solutions for solving business needs, process automations and improving operational efficiency

What you’ll bring

All qualifications

Core experience

  • 5+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions
  • 5+ years of experience in SQL with designing complex data schemas and query performance optimization
  • 3+ years of experience in Python, Scala
  • 3+ years of experience in Apache Spark (PySpark/Spark SQL)
  • 3+ years with DevOps automation with Terraform
  • 3+ years of experience with API design and lifecycle management (GraphQL, REST, etc.)
Qualification wording
5+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions
5+ years of experience in SQL with designing complex data schemas and query performance optimization
3+ years of experience in Python, Scala
3+ years of experience in Apache Spark (PySpark/Spark SQL)
3+ years with DevOps automation with Terraform
3+ years of experience with API design and lifecycle management (GraphQL, REST, etc.)

Tools in this posting

  • Python
  • SQL
  • Azure
  • Databricks
  • Snowflake
  • Spark
  • Scala
  • Terraform
  • PySpark
Source — Tool mentions in context
- 5+ years of experience in SQL with designing complex data schemas and query performance optimization - 3+ years of experience in Python, Scala - 3+ years of experience in Apache Spark (PySpark/Spark SQL)
- Design, build, optimize, and manage modern large-scale data pipelines ETL/ELT processing to support data integration for analytics, machine learning features and predictive modelling - Write advanced / complex SQL with performance tuning and optimization - Build AI based solutions for solving business needs, process automations and improving operational efficiency
- 5+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions - 5+ years of experience in SQL with designing complex data schemas and query performance optimization - 3+ years of experience in Python, Scala
- 3+ years of experience in Python, Scala - 3+ years of experience in Apache Spark (PySpark/Spark SQL) - 3+ years with DevOps automation with Terraform
- Develops services, controls, and reusable patterns that enable the team to deliver value safely, quickly, and sustainably in the public cloud - Develop highly-scalable applications for the Azure cloud by building microservices, Azure functions, and patterns for public cloud enabling security and privacy at scale - Foster high-performance, collaborative technical work resulting in high-quality output
- Interact skillfully with business stakeholders and third-party technical organizations - Design and develop ETL/ELT solutions on Azure Databricks, LakeBase and Spark - Develop, implement, and deploy large scale data pipelines empowering machine learning algorithms, insights generation, business intelligence dashboards, reporting and new data products
- 3+ years of experience with API design and lifecycle management (GraphQL, REST, etc.) - 3+ years of building and deploying Cloud based solutions using - Azure Databricks with UC, Snowflake, Functions, Service Bus - Experience of building LLM integrations for workflow automation/business needs
- 3+ years of experience in Apache Spark (PySpark/Spark SQL) - 3+ years with DevOps automation with Terraform - 3+ years of experience with API design and lifecycle management (GraphQL, REST, etc.)

Posting record

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Status in our records
Live
First seen by us
Oct 13, 2026 · 2d ago
Recorded sightings
14
Last seen by us
Oct 14, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Job description

View original posting ↗

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:

  • Develops services, controls, and reusable patterns that enable the team to deliver value safely, quickly, and sustainably in the public cloud
  • Develop highly-scalable applications for the Azure cloud by building microservices, Azure functions, and patterns for public cloud enabling security and privacy at scale
  • Foster high-performance, collaborative technical work resulting in high-quality output
  • Understand new product capabilities and decompose the implementation into specific functional changes for verification
  • Gather and analyze data to aid in informed decision-making while providing detailed, realistic estimates
  • Interact skillfully with business stakeholders and third-party technical organizations
  • Design and develop ETL/ELT solutions on Azure Databricks, LakeBase and Spark
  • Develop, implement, and deploy large scale data pipelines empowering machine learning algorithms, insights generation, business intelligence dashboards, reporting and new data products
  • Design, build, optimize, and manage modern large-scale data pipelines ETL/ELT processing to support data integration for analytics, machine learning features and predictive modelling
  • Write advanced / complex SQL with performance tuning and optimization
  • Build AI based solutions for solving business needs, process automations and improving operational efficiency
  • Identify ways to improve data reliability, data integrity, system efficiency and quality
  • Participate in architectural evolution of data engineering patterns, frameworks, systems, and platforms including defining best practices and standards for managing data collections and integration
  • Mentor other data engineers and provide technical direction by teaching other data engineers how to leverage cloud data platforms
  • 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:

  • Graduate degree or equivalent experience
  • 5+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions
  • 5+ years of experience in SQL with designing complex data schemas and query performance optimization
  • 3+ years of experience in Python, Scala
  • 3+ years of experience in Apache Spark (PySpark/Spark SQL)
  • 3+ years with DevOps automation with Terraform
  • 3+ years of experience with API design and lifecycle management (GraphQL, REST, etc.)
  • 3+ years of building and deploying Cloud based solutions using - Azure Databricks with UC, Snowflake, Functions, Service Bus
  • Experience of building LLM integrations for workflow automation/business needs
  • Experience with CI/CD process and tools - GitHub Actions, GIT, Artifactory, Sonar

 

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.

Your next step

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  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.

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