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Sr. Developer

00069238101

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


Responsibilities

  • Design and develop scalable data pipelines using Databricks SQL and PySpark to process high volume Medicare and Medicaid claims data across payer systems
  • Implement efficient data models that support analytics use cases for claims adjudication trends member insights and provider performance improvement
  • Optimize PySpark jobs and Databricks SQL queries to ensure reliable performance cost efficiency and predictable runtime for large claims datasets
  • Build reusable data transformation frameworks that standardize ingest cleanse enrich and aggregate payer claims information from multiple source systems
  • Collaborate with product owners business analysts and data consumers to translate Medicare and Medicaid payer requirements into robust technical data solutions
  • Ensure data quality by implementing validation rules reconciliation checks and anomaly detection tailored to claims and payer domain constraints
  • Develop secure data handling practices that protect member privacy and comply with healthcare regulations while enabling responsible analytics on claims data
  • Create robust monitoring logging and alerting for Databricks workloads to proactively identify failures bottlenecks and data quality issues in production pipelines
  • Document end to end data flows technical designs and operational runbooks so that hybrid teams can support and enhance Databricks and PySpark solutions effectively
  • Work closely with testing and operations partners to support deployments defect triage and continuous improvements for production claims analytics platforms
  • Partner with business stakeholders to deliver dashboards curated datasets and self service views that enable timely insights on claims cost quality and utilization outcomes
  • Contribute to continuous improvement by evaluating new Databricks features PySpark capabilities and engineering practices that enhance stability maintainability and scalability
  • Mentor peers through code reviews design discussions and knowledge sharing sessions to uplift engineering standards across data and analytics teams


Qualifications

  • Possess a strong background in Databricks SQL with hands on experience writing complex queries optimizing execution plans and managing large scale tables in production
  • Demonstrate advanced proficiency in PySpark including structured streaming dataframes and performance tuning techniques applicable to healthcare claims processing
  • Bring deep domain understanding of Medicare and Medicaid claims payer operations and healthcare reimbursement workflows enabling accurate translation of business rules into code
  • Apply solid knowledge of data warehousing concepts such as star schemas slowly changing dimensions and partitioning to support analytics on claims data
  • Exhibit strong skills in debugging troubleshooting and root cause analysis for distributed data processing jobs within cloud based Databricks environments
  • Show experience in working within hybrid work models using modern collaboration tools and following agile delivery practices for data engineering initiatives
  • Display familiarity with healthcare data standards coding systems and regulatory expectations that influence design of claims analytics and reporting solutions
  • Utilize effective communication and stakeholder engagement skills to align technical deliverables with business outcomes focused on member health and payer efficiency

About Cognizant: 
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap 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, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

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, state or local laws.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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