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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
