Senior Data Engineering Consultant

Optum; Hyderabad; On-site; INR 1,200,000 - 3,200,000; Full time

Job summary

Optum is seeking a Senior Data Engineering Consultant to join our data & analytics team in Hyderabad. You will help build and scale data pipelines, collaborate with architects and product stakeholders, and participate in the scrum process to deliver features on schedule.

Technical focus includes Azure data tools (ADF, Databricks), PySpark, SQL, and ML model development, with an emphasis on data migration from on-prem to cloud and building self-service analytics platforms.

Qualifications

• Experience implementing big data pipelines on Azure using Spark/PySpark.
• Hands-on data profiling and mapping for large datasets.
• Strong SQL and data analysis capabilities.

Responsibilities

• Participate in scrum process and deliver stories/features according to the schedule.
• Collaborate with team, architects and product stakeholders to understand scope and design of a deliverable.
• Participate in product support activities as needed by the team.

Skills

SQL proficiency

Data analysis

Learning agility

Tools

Python

PySpark

Azure

Azure Databricks

Azure Data Factory

Power Apps

Job description

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

Job Description - Senior Data Engineering Consultant (2378904)

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

• Participate in scrum process and deliver stories/features according to the schedule
• Collaborate with team, architects and product stakeholders to understand the scope and design of a deliverable
• Participate in product support activities as needed by the 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

• DevOps, implementation of Bigdata, Apache Spark and Azure Cloud
• Implementation of self-service analytics platform ETL framework using PySpark on Azure experience
• Experience on building ML models
• Deep experience in Data Analysis, including source data analysis, data profiling and mapping
• Proven hands‑on experience with a large‑scale data warehouse
• Hands‑on data migration experience from legacy systems to new solutions such as from on‑premises clusters to Cloud, build apps using Azure Power Apps,
• Deep experience in Data Analysis, including source data analysis, data profiling and mapping
• Good Knowledge on Gen‑AI, RAG's, LLM
• Expert skills in Azure data processing tools (Azure Data Factory, Azure Databricks)
• Understand product architecture, features being built and come up with product improvement ideas and POCs Expert skills in Azure data processing tools (Azure Data Factory, Azure Databricks)
• Solid proficiency in SQL and complex queries
• Tools/Technologies:
  • Programming Languages: Python, PySpark
  • Cloud Technologies: Azure (ADF, Databricks, WebApp, Key vault, SQL Server, function app, logic app, Synapse Azure Machine Learning, DevOps)
  • ML Models, GPT, NLP Algorithms
• Ability to learn and adapt to new data technologies

Preferred Qualifications

• Knowledge on US healthcare industry/Pharmacy data
• Knowledge/Experience on Power Apps using Azure and Good communication skills

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.