Senior Data Engineering Consultant

Optum India; Hyderabad; On-site; INR 180,000 - 240,000; Full time

Job summary

Optum India is seeking a data engineering professional to participate in scrum, design deliverables with architects and product stakeholders, and support data platforms. The role emphasizes PySpark on Azure, large-scale data processing, and ML model development to improve data insights.

Candidates should have strong SQL, data profiling and effective communication skills. The position involves migrating data from legacy systems to cloud, building self-service analytics pipelines, and contributing

Qualifications

• Undergraduate degree or equivalent experience.
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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 terms of employment, company policies, and directives; adapt to changing work locations, teams or shifts.

Skills

Python

PySpark

SQL

Data analysis

ML models

Gen-AI

RAGs

LLM

Azure

Scrum / Agile

Education

Undergraduate degree or equivalent experience

Tools

Azure Data Factory

Azure Databricks

Azure WebApp

Azure Key Vault

Synapse

DevOps

Power Apps

Job description

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

• Undergraduate degree or equivalent experience
• DevOps, implementation of Bigdata, Apache Spark and Azure Cloud
• Large scale data processing using PySpark on azure ecosystem experience
• 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
• Good experience in building data pipelines using ADF/Azure Databricks
• 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
• Proven good problem solving skills
• Proven good communication skills

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.