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Cloud Data Engineer

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What makes Cognizant a unique place to work? The combination of rapid growth and an unique place international and innovative environment! This is creating many opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world.

At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative, and successful. Moreover, this is your chance to be part of the success story.

Position Summary

Results-driven Data Engineer with expertise in designing, building, and optimizing scalable data pipelines across cloud and distributed systems. Skilled in Python, PySpark, and SQL for data ingestion, transformation, and integration, with a strong focus on improving efficiency, reducing costs, and ensuring data quality. Experienced in metadata-driven frameworks, ETL process enhancements, and governance practices to deliver clean, reliable data for analytics and reporting. Adept at collaborating with cross-functional teams, monitoring platform performance, and making continuous improvements to support business growth and decision-making.

Mandatory Skills

  • Skills/Tools: Py-spark, Spark SQL, SAS, Databricks, Java, Python, Power Bi, Qlikview, Automation (RPA), web-scraping, IBM Sterling
  • Database: Hive, Oracle, SSMS, etc
  • Cloud Platform: Azure services, Databricks, AWS
  • Language: Python, Java
  • Ci/CD Tools: Bitbucket, Github and Jenkins
  • Job Scheduler: Control-M, DataBricks workflows
  • Monitoring and Logging: Skills in using monitoring tools and analysing the root cause using Spark Logs
  • Security and Compliance: Understanding of security best practices and compliance requirements
  • Business Domain Knowledge: Banking: Basel 4, Regulatory Reporting

Roles And Responsibilities

  • Build and maintain scalable data pipelines using cloud services for ingestion, transformation, and storage.
  • Develop data products that integrate customer data from multiple sources into unified profiles.
  • Create metadata-driven frameworks to ensure data quality, consistency, and governance.
  • Write Pyspark, and Spark SQL scripts to perform complex data transformations, ensuring data pipelines are efficient, scalable, and optimized for analytics and reporting.
  • Support ETL processes by fixing errors, improving resiliency, and ensuring data integrity across reports and dashboards.
  • Monitor data platforms, respond to alerts, and optimize pipelines for efficiency and cost reduction.
  • Perform root cause analysis (RCA) for job failures and ensure stability after releases.
  • Collaborate with onsite and offshore teams to coordinate tasks, align processes, and deliver projects smoothly.
  • Participate in design reviews, implementation walkthroughs, and production deployments.
  • Apply governance best practices to maintain security, lineage, and compliance with organizational and regulatory standards.
  • Work closely with stakeholders and architects to capture requirements and deliver reliable solutions.
  • Use Atlassian tools (Jira, Confluence, Bitbucket) for project management, documentation, and collaboration.
  • Lead projects through effective planning, prioritization, and team coordination to ensure successful delivery.

Qualifications/Certifications

Databricks Certified Data Engineer Associate

SQL (Advance) - HackerRank

Python (Basic) – HackerRank

Salary Range: 90k-100k

Date of Posting: 3/11/2026

Next Steps: If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us.

For a complete list of open opportunities with Cognizant, visit http://www.cognizant.com/careers. Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.

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, 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 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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Cognizant has given me the opportunity to thrive as a leader and as a person. The culture of recognition, the great benefits and the sense of community motivate me, and I strive to give my best every day.
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I never expected my Cognizant career to include launching our first satellite office in a tier 2 city, but that's the kind of opportunity working here makes possible!
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