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.
Over Cognizant
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.
Aanvullende arbeidsinformatie
De informatie over de beloning is correct op de datum van deze vacature. Cognizant behoudt zich het recht voor om deze informatie op elk moment te wijzigen, met inachtneming van de toepasselijke wetgeving.
Van sollicitanten kan worden verwacht dat zij gesprekken bijwonen, persoonlijk of via een videogesprek. Daarnaast kan van kandidaten worden gevraagd om tijdens elk gesprek een geldig, door de overheid uitgegeven identiteitsbewijs (zoals een identiteitskaart of paspoort) te tonen.
Cognizant is een werkgever die gelijke kansen biedt. Je sollicitatie en kandidatuur worden niet beoordeeld op basis van ras, huidskleur, geslacht, religie, levensovertuiging, seksuele geaardheid, genderidentiteit, nationale afkomst, handicap, genetische informatie, zwangerschap, veteranenstatus of enige andere eigenschap die wordt beschermd door federale, regionale of lokale wetgeving.
