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
- Skills/Tools: Apache Spark, PySpark, Spark SQL, HDFS, ADLS2, Azure Synapse Analytics, ServiceNow, Enterprise Control-M, BT-Control-M.
- Cloud & Data Platforms: Azure Data Lake Storage (ADLS2), Azure Synapse Analytics, Databricks.
- Programming Languages: Python, HiveQL, Spark SQL.
- Databases: Hive, MySQL.
- Build & Deployment Tools: Bitbucket, Jenkins, CI/CD Pipeline Implementation.
- Job Scheduling Tools: BMC Control-M.
- Monitoring & Troubleshooting: Spark Logs Analysis, Root Cause Analysis, Production Support.
- ITSM Tools: ServiceNow.
- Security & Compliance: Data Governance, Security Best Practices, Change Management.
- Domain Expertise: Banking and Financial Services.
Roles And Responsibilities
- Collaborate with cross-functional teams to analyze, design, and implement scalable data engineering solutions.
- Design, develop, and optimize enterprise-grade data processing pipelines using PySpark and Spark SQL.
- Build and maintain scalable data ingestion, transformation, and aggregation frameworks leveraging Spark DataFrames, Hive, HDFS, and ADLS2.
- Perform Spark performance tuning and optimization to improve resource utilization and processing efficiency.
- Develop complex Spark SQL and HiveQL queries to support business-critical data processing requirements.
- Design and implement robust data transformation logic while adhering to coding standards and best practices.
- Investigate, troubleshoot, and resolve production issues through detailed log analysis and root cause identification.
- Drive operational excellence by implementing proactive monitoring and reliability improvements.
- Configure, schedule, and manage enterprise data workflows using BMC Control-M.
- Manage source code versioning and collaboration through Git and Bitbucket.
- Create, review, and implement Change Requests (CRQs) in accordance with organizational governance processes.
- Maintain comprehensive technical documentation, deployment procedures, and operational support artifacts.
- Support production releases and platform upgrade activities while ensuring service continuity.
- Mentor junior developers and provide technical guidance to team members.
Qualifications/Certifications
- DP-203 Data Engineering.( https://learn.microsoft.com/api/credentials/share/en-us/KirankumarM-6415/51F75659117B3D95?sharingId=2625DA67DB3FD434)
- Data Engineering with Databricks
- IBM Skill Badge – Artificial Intelligence
- Cognizant Certification – Prompt and Context Engineering
- 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.
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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