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Sr. Developer

00069562092



Job Summary

This hybrid Sr Developer role focuses on designing and implementing secure and scalable data and GenAI solutions using Databricks Python and cloud storage. The role involves building resilient pipelines optimizing analytics workloads and operationalizing AI driven insights while ensuring data governance quality and reliability to support critical business intelligence needs for global stakeholders.


Responsibilities

  • Design and implement robust Databricks based data solutions that leverage Delta Lake Databricks SQL and Python to support analytics and GenAI driven applications across multiple business domains.
  • Develop and maintain scalable Delta Live Pipelines that ensure reliable data ingestion transformation and enrichment while meeting stringent performance and data quality requirements for enterprise reporting.
  • Configure and administer Unity Catalog in Databricks to enforce consistent access control data classification and audit policies that protect sensitive information and support regulatory compliance.
  • Build and optimize PySpark based data processing jobs that handle large scale structured and semi structured datasets while improving execution efficiency and resource utilization within the Databricks environment.
  • Implement secure and efficient integrations with Amazon S3 to manage raw and curated data zones while ensuring consistent data lifecycle management backup strategies and recovery processes for critical assets.
  • Create and fine tune Databricks SQL queries dashboards and analytical models that deliver accurate and timely insights to business partners and enhance decision making effectiveness.
  • Use GenAI basics and AI BI Genie capabilities to design intelligent analytics features that surface contextual insights automated summaries and recommendations to end users in a responsible manner.
  • Apply AgentBricks and Mosaic AI features to build and orchestrate AI agents that automate routine analytics workflows support conversational insights and improve consumer experience with governed AI outputs.
  • Develop and orchestrate Databricks Workflows that coordinate complex dependency chains across notebooks jobs and pipelines while ensuring reliable scheduling monitoring and alerting for production operations.
  • Implement comprehensive testing observability and logging practices for all data and AI solutions using Python CLI tools and Databricks utilities to ensure resilience traceability and rapid incident diagnosis.
  • Use Databricks CLI to automate environment setup job deployment and configuration management while promoting repeatable and consistent delivery across development testing and production workspaces.
  • Collaborate proactively with data engineers data scientists and analytics partners in a hybrid work model to refine requirements validate deliverables and ensure high value outcomes from data and AI investments.
  • Document solution designs coding standards data dictionaries and operational runbooks in a clear and maintainable manner to support knowledge sharing smooth onboarding and sustainable long term operations.

    • Qualifications

  • Showcase extensive hands on experience in Databricks platform components including Unity Catalog Databricks SQL Delta Lake Delta Live Pipelines and Databricks Workflows with a strong focus on production grade solutions.
  • Demonstrate advanced proficiency in Python and PySpark for building modular testable and high performing data processing and AI enablement code within large scale distributed environments.
  • Exhibit practical understanding of GenAI concepts AI BI Genie and AgentBricks or Mosaic AI to design safe governed and value driven AI capabilities that complement existing analytics solutions.
  • Display strong expertise in cloud storage integration with Amazon S3 including data layout design security configuration and performance optimization for analytic workloads.
  • Present proven experience using Databricks CLI and related automation tools to implement infrastructure as code practices and consistent environment management across multiple workspaces.
  • Highlight a track record of at least twelve years in data engineering analytics or related development roles delivering resilient pipelines dashboards and AI driven insights for enterprise consumers.
  • Illustrate effective communication and collaboration skills that enable partnership with cross functional teams clear translation of requirements and delivery of solutions aligned to organizational objectives.

    • 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.

    Things to know before you apply

    • Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
    • Accommodations: 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.
    • AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
    • Open position: Unless otherwise stated, this job posting is for an open position on our team.
    • Language proficiency: 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.
    • Inclusion: 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.

    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 financial education, a pension plan with matching contributions, 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.

    CAN Brigitte
    Cognizant is great for those wanting to make the world a better place, as we create solutions with top technology partners to address complex problems for our clients.
    Brigitte Roy Director of Strategy Alliances
    CAN Rahul
    I’m supported by motivational leaders who empower me to grow in my career through learning programs, industry conferences and internal job moves. I’m proud of the career progression I’m making here.
    Rahul Sathe Principal Product Architect – Insurance
    Can Amita
    The moment I joined Cognizant, I felt like I belonged. I was heard and empowered to challenge ideas—and I still am to this day.
    Dr. Amita Oppal Gill Service Line Sales Manager
    1 (2)
    Cognizant has one of the best learning ecosystems you can ask for. From sponsored certifications to training platforms to mentorship, we have all that we need to grow.
    Debashish Mishra SAP MM Developer

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