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Sr. Developer

00069395451



Job Summary

This hybrid role seeks a senior developer with six to eight years of experience specializing in Databricks SQL Databricks Workflows and PySpark to build and optimize data solutions for life and annuities insurance. The role focuses on scalable pipelines reliable analytics and insight delivery that improve policyholder outcomes and support responsible business decisions.


Responsibilities

  • Design build and optimize Databricks SQL queries that support complex life and annuities insurance reporting and analytics needs while ensuring accuracy and performance
  • Develop robust PySpark based data pipelines that process large insurance datasets efficiently and reliably for downstream actuarial and operational use
  • Configure and maintain Databricks Workflows that orchestrate end to end data processing and analytics tasks across hybrid environments with predictable execution
  • Implement data quality checks and validation rules tailored to life and annuities products so that policy claim and premium data remains consistent and trusted
  • Collaborate with business analysts and actuaries to translate life and annuities requirements into scalable Databricks solutions that enable data driven decisions
  • Optimize storage formats partitioning strategies and cluster configurations in Databricks to balance cost performance and reliability for large insurance workloads
  • Create clear technical documentation that explains data models transformation logic and workflow behavior in language that is understandable across technology and insurance teams
  • Support day to day production operations by investigating incidents resolving data issues and implementing preventive improvements that reduce recurring problems
  • Apply secure coding and data handling practices so that sensitive insurance data is protected in line with enterprise governance and regulatory expectations
  • Coordinate with hybrid infrastructure and platform teams to ensure Databricks environments connectivity and dependencies are stable for day shift operations
  • Participate in sprint activities by estimating effort planning tasks and delivering high quality development outcomes aligned with agreed timelines
  • Engage with testing teams to define test data scenarios and acceptance criteria that reflect real life and annuities processes and edge cases
  • Contribute to continuous improvement by identifying opportunities to streamline workflows reduce manual steps and enhance analytics capabilities for business stakeholders

    • Qualifications

  • Possess professional experience of six to eight years in data engineering or development roles with a strong focus on Databricks SQL and PySpark within enterprise settings
  • Demonstrate hands on expertise in configuring and managing Databricks Workflows for complex multi step data and analytics processes in a hybrid work model
  • Show deep domain understanding of life and annuities insurance concepts including policy lifecycle premiums claims reserves and related data structures
  • Exhibit strong proficiency in writing efficient PySpark code tuning transformations and handling large scale structured and semi structured datasets
  • Bring practical knowledge of relational databases data warehousing and dimensional modeling techniques that support insurance reporting and analytics
  • Display familiarity with data governance concepts such as data lineage metadata management and access control in regulated industries like insurance
  • Communicate clearly with cross functional teams documenting solutions and explaining technical decisions in terms that align with business outcomes

    • Certifications Required

    Preferred certifications include Databricks Data Engineer Associate and relevant insurance or actuarial domain certifications.

    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.

    If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

    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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