AIA - Weekend Drive - BBSR 04th July 2026
Interview Location: Bhubaneswar
Mode Of Interview : Face to Face
Interview Date: 04th July 2026
Skill: Azure Databricks & Pyspark
Experience - 6 - 9 Years
Job Summary
This hybrid Data Engineer role focuses on designing and optimizing Databricks SQL and PySpark solutions for complex payer and Medicare Medicaid claims processing. The role spans data engineering analytics and quality assurance to ensure accurate claim insights that support compliant healthcare decisions and improved member outcomes.
Responsibilities
Data Engineering - Pyspark Data bricks
- Design scalable Databricks SQL and PySpark solutions that process large volumes of payer and Medicare Medicaid claims data to ensure reliable analytics outputs
- Develop robust data pipelines that ingest transform and aggregate claims information to support timely decision making for healthcare operations
- Optimize PySpark jobs and Databricks SQL queries to improve runtime performance stability and cost efficiency across the hybrid cloud environment
- Implement reusable data models and curated datasets tailored for claims adjudication analytics risk scoring and operational reporting needs
- Collaborate with business and product stakeholders to translate payer and claims requirements into detailed technical solutions that align with organizational goals
- Perform detailed data profiling and validation on Medicare Medicaid claims to identify anomalies gaps and quality issues before downstream consumption
- Create automated testing frameworks for Databricks SQL and PySpark components to reduce defects and maintain consistent quality across releases
- Document end to end data flows transformation logic and technical design decisions to ensure transparency maintainability and effective knowledge sharing
- Partner with analysts and data consumers to design efficient query patterns and dashboards that reveal actionable insights from claims trends and utilization metrics
- Ensure compliance with healthcare data policies by implementing appropriate access controls masking strategies and audit trails within the Databricks environment
- Troubleshoot production issues in Databricks jobs by analyzing logs dependencies and datasets to restore service with minimal impact to downstream users
- Coordinate with infrastructure and platform teams to align cluster configurations libraries and deployment processes with performance and reliability requirements
- Contribute to continuous improvement by recommending new Databricks features coding patterns and automation approaches that enhance team productivity and solution quality
Qualifications
- Exhibit advanced proficiency in Databricks SQL by crafting complex joins aggregations and window functions that support nuanced payer and claims analytic scenarios
- Demonstrate strong PySpark experience through hands on development of distributed data processing pipelines capable of handling large scale Medicare Medicaid claims datasets
- Apply deep understanding of payer operations and claims life cycle to design transformations that respect benefit rules payment logic and regulatory constraints
- Utilize practical knowledge of Medicare and Medicaid programs to ensure that analytic outputs support compliance reporting and value based care initiatives
- Bring eight to twelve years of professional experience in data engineering or advanced analytics roles with a focus on enterprise scale implementations
- Communicate effectively in hybrid work settings by coordinating work progress clarifications and issue resolutions with onsite and remote stakeholders during day shifts
- Adopt structured development practices including version control code reviews and documentation to improve reliability and long term maintainability of solutions
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
