What makes Cognizant a unique place to work? The combination of rapid growth and a 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 Azure Data Engineer with expertise in designing, building, and optimizing scalable data pipelines across cloud and distributed systems. Skilled in Python, PySpark, and SQL and AI-driven solutions for data ingestion, transformation, and integration, with a strong focus on improving efficiency, 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:
- Big Data Technologies - HDFS, Hive, Apache Hadoop, Apache Spark
- Data Streaming Frameworks - Confluent Kafka, Apache Kafka, KSQL
- NoSQL Database - PostgreSQL, HBase
- Programming Languages - PySpark, Unix
- Cloud Platform - Azure Synapse, Azure, AWS, Cloudera
- Job Scheduler - Airflow, AWS Glue, Control-M
- Databases - Oracle 11g, MySQL, Netezza, IBM DB2, SSMS
- Continuous Integration and Development (CI/CD) - Azure DevOps, GIT, Bitbucket
- Container Technologies - AWS EKS, Docker
- Cluster Management - Kubernetes, Pods
- BI Tool - Power BI
- IDE Tool - Eclipse, IntelliJ, PyCharm
ETL Tool - Informatica 10.2, IICS
Scripting Languages - Unix, Python
Domain Exposure - Insurance, Banking
Duties and Responsibilities:
•Lead end-to-end development and implementation of migration project.
•Design and implement scalable data pipelines that extract, load, and transform data from various product systems into the master data warehouse.
•Create metadata-driven frameworks to ensure data quality, consistency, and governance.
•Optimization of data-pipeline using parametrized ETL mapping in IICS ensuring high performance and scalability.
•Develop the PySpark code to create data pipeline, metadata sheet and transform logic.
•Build a scalable reconciliation framework in PySpark to support three-ways data reconciliation and ensure data integrity.
•Debug & resolve all kinds of job execution failures in Azure (Dam connector, cosmos, SCD, custom jobs, metadata, file level issues).
•Collaborate with discovery and analytics team to provide accessible and integrated data for migration.
•Peer reviewed the code and provided improvement comments and suggested spark optimization configuration to reduce the time of long running jobs.
•Worked closely with data analysts, and business stakeholders to deliver trusted, well-understood datasets aligned to business needs.
•Use Atlassian tools (Jira, Confluence, Bitbucket) for project management, documentation, and collaboration.
•Participate in design reviews, implementation walkthroughs, and production deployments.
•Collaborate with onsite and offshore teams to coordinate tasks, align processes,
•Integrate AI-powered solutions to enhance and automate development, testing, data pipeline, and documentation workflows.
Qualifications & Certifications (Optional):
•Degree in computer science, Engineering.
•“Algorithms & Data Structure” certification from IIT
Salary Range: >$100,000
Date of Posting: 19-Jun-26
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。
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