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 driving continuous improvements to support business growth and decision-making.
Mandatory Skills
- Data Engineering: Azure Data Lake Storage (ADLS), Azure Blob Storage, Hadoop (HDFS, Hive), PySpark, SQL Server
- Cloud Platforms: Azure, AWS
- DevOps & Tools: Git, Bitbucket, CI/CD, Shell Scripting, JIRA, Agile Scrum
- Automation & Scheduling: Control-M, Sterling B2B Integrator
- Testing & APIs: Postman, API Testing, PyCharm, VS Code
- 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 (BFSI)
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
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.
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.
Applicants must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for this position.
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.
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.
