Senior Consultant Business Systems
UnitedHealth Group (company site, opens in a new tab)6+ yrsNoidaOn-siteDirect career pageEst. 20–35 LPA
Posted on 7 Sept
Reach people at UnitedHealth Group
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at UnitedHealth Group you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end delivery of complex finance-related data engineering projects, balancing speed, quality, and measurable business outcomes.
- Architect, build, and maintain scalable cloud data pipelines and platforms using technologies like Azure Data Factory, Snowflake, Databricks, Spark/PySpark, SQL, and Python.
- Collaborate cross-functionally with finance partners, analytics, architecture, and platform teams to enable reliable data solutions for analytics, reporting, and AI/ML use cases.
Minimum Requirements
- Bachelor's degree in computer science, information systems, data engineering, analytics, cloud engineering, or related field.
- 6+ years of experience in data engineering or related roles with demonstrated technical leadership or mentoring experience.
- Hands-on expertise with Snowflake, Azure Data Factory, Azure Data Lake, Databricks, Spark/PySpark, SQL, and Python in cloud-based data platforms.
- Experience with cloud infrastructure concepts relevant to data engineering including storage, compute, networking, security, CI/CD, infrastructure-as-code, and data governance.
Ideal Candidate Profile
- Experienced technical leader with proven ability to deliver large-scale, cloud-native finance data platforms and pipelines.
- Strong collaborator skilled in partnering with diverse teams including finance business partners, analytics, architecture, and platform engineering.
- Deep understanding of modern data engineering practices, cloud infrastructure, data governance, security, and performance optimization in a fast-paced environment.