Gurugram, Haryana, India
Information Technology
Full-Time
Optum
Overview
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
Primary Responsibilities
- Data Architecture & Engineering
- Support the design and development of a connected dataset across diverse data sources
- Build and maintain data pipelines using SQL, Python, and SAS EG
- Implement data validation and verification routines to ensure accuracy, completeness, and consistency across integrated sources
- Monitor and maintain data quality and integrity through automated checks, audits, and exception handling processes
- Define and enforce data governance, quality, and security standards
- Collaborate with business and technical stakeholders to gather requirements and deliver scalable data solutions
- Process Leadership
- Develop and optimize repeatable processes for data ingestion, transformation, and integration
- Create and maintain documentation and workflows to support transparency and operational efficiency
- Drive continuous improvement through automation and standardization of data operations
- 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
- 3+ years of solid hands-on experience with SAS Enterprise Guide, SQL, and Python
- 3+ years of experience with proven track record in data engineering and data architecture
- Experience implementing data validation and verification techniques to ensure data accuracy and consistency
- Familiarity with cloud platforms (e.g., Databricks, Snowflake) and modern data tools
- Demonstrated ability to monitor and maintain data quality and integrity across complex data environments
- Demonstrated excellent communication and stakeholder engagement skills
- Demonstrated to be process-oriented mindset with a focus on quality, scalability, reliability, and maintainability
- SAS Certification
- Background in analytics or reporting
- Knowledge of data privacy, compliance standards and managed healthcare (e.g., GDPR, HIPAA)
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