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Associate

00070983741

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

Experienced Data Engineer with over 7+ years of expertise in designing, developing, and optimizing large-scale data engineering solutions within Banking and Financial Services domains. Proficient in Apache Spark, PySpark, SparkSQL, HDFS, Hive, ADLS2, Azure Synapse Analytics, Python, and HBase, with strong experience in building scalable data ingestion, transformation, and processing frameworks. Microsoft Certified DP-203: Azure Data Engineer Associate, demonstrating expertise in designing and implementing data integration, storage, processing, monitoring, and security solutions in Azure environments. Extensive experience working across complete Software Development Life Cycle (SDLC) phases using Agile and Waterfall methodologies. Skilled in performance tuning, troubleshooting, production support, root cause analysis, and delivering high-quality solutions in complex enterprise environments. Proven track record of leading technical initiatives, mentoring team members, driving successful production implementations, and collaborating with cross-functional stakeholders to deliver business-critical projects on time and with high quality. Recognized for strong analytical thinking, problem-solving capabilities, customer focus, and commitment to continuous learning and innovation.

Mandatory Skills

  1. Skills/Tools: Apache Spark, PySpark, Spark SQL, HDFS, ADLS2, Azure Synapse Analytics, ServiceNow, Enterprise Control-M, BT-Control-M.
  2. Cloud & Data Platforms: Azure Data Lake Storage (ADLS2), Azure Synapse Analytics, Databricks.
  3. Programming Languages: Python, HiveQL, Spark SQL.
  4. Databases: Hive, MySQL.
  5. Build & Deployment Tools: Bitbucket, Jenkins, CI/CD Pipeline Implementation.
  6. Job Scheduling Tools: BMC Control-M.
  7. Monitoring & Troubleshooting: Spark Logs Analysis, Root Cause Analysis, Production Support.
  8. ITSM Tools: ServiceNow.
  9. Security & Compliance: Data Governance, Security Best Practices, Change Management.
  10. Domain Expertise: Banking and Financial Services.

Roles And Responsibilities

  1. Collaborate with cross-functional teams to analyze, design, and implement scalable data engineering solutions.
  2. Design, develop, and optimize enterprise-grade data processing pipelines using PySpark and Spark SQL.
  3. Build and maintain scalable data ingestion, transformation, and aggregation frameworks leveraging Spark DataFrames, Hive, HDFS, and ADLS2.
  4. Perform Spark performance tuning and optimization to improve resource utilization and processing efficiency.
  5. Develop complex Spark SQL and HiveQL queries to support business-critical data processing requirements.
  6. Design and implement robust data transformation logic while adhering to coding standards and best practices.
  7. Investigate, troubleshoot, and resolve production issues through detailed log analysis and root cause identification.
  8. Drive operational excellence by implementing proactive monitoring and reliability improvements.
  9. Configure, schedule, and manage enterprise data workflows using BMC Control-M.
  10. Manage source code versioning and collaboration through Git and Bitbucket.
  11. Create, review, and implement Change Requests (CRQs) in accordance with organizational governance processes.
  12. Maintain comprehensive technical documentation, deployment procedures, and operational support artifacts.
  13. Support production releases and platform upgrade activities while ensuring service continuity.
  14. Mentor junior developers and provide technical guidance to team members.

Qualifications/Certifications

  1. DP-203 Data Engineering.( https://learn.microsoft.com/api/credentials/share/en-us/KirankumarM-6415/51F75659117B3D95?sharingId=2625DA67DB3FD434)
  2. Data Engineering with Databricks
  3. IBM Skill Badge – Artificial Intelligence
  4. Cognizant Certification – Prompt and Context Engineering
  5. AI Security & Governance by Securiti

Salary Range: 80k-90k

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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