Data Engineering Consultant
UnitedHealth Group View all jobs
- Bangalore, Karnataka
- Permanent
- Full-time
- This position plays a critical role in enabling data-driven decisions across ITAM processes, ensuring seamless integration between systems and improving operational efficiency
- Analyze and segment large datasets related to IT asset lifecycle, ensuring accuracy and relevance
- Design and implement data models that capture relationships between upstream and downstream systems
- Collaborate with upstream and downstream application teams to understand data dependencies and integration points
- Identify trends, anomalies, and opportunities for process improvement across the asset lifecycle
- Ensure data governance, quality, and compliance standards are maintained throughout analysis
- Support strategic initiatives by providing predictive and prescriptive analytics
- 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
- Experience working with large, complex datasets and multiple data sources
- Understanding of IT Asset Management processes and lifecycle concepts
- Familiarity with upstream/downstream system integrations and data flows
- Solid proficiency in data analysis tools (e.g., SQL, Power BI, Tableau, or similar)
- Proven excellent problem-solving skills and ability to translate data into actionable insights
- Proven solid communication skills to convey technical findings to non-technical stakeholders
- Any Graduate (Preference Data Engineering or data analytics)
- 5+ years of experience in Data Engineering or Data Analytics
- Experience with automation and scripting for data extraction and transformation
- Knowledge of ITAM tools and platforms (e.g., ServiceNow, Flexera, or similar)
- Proven exposure to AI as User OR Builder
- Proven background in data governance and compliance frameworks