Note: The job is a remote job and is open to candidates in USA. Cognizant is seeking a highly experienced Technical Lead – Data Engineering with expertise in delivering enterprise-scale data solutions on AWS. This role involves designing, building, and modernizing data platforms, developing complex data engineering solutions, and contributing to cloud transformation initiatives.

Responsibilities

• Design, build, and optimize scalable data engineering solutions using AWS cloud services
• Develop and maintain robust ETL pipelines using AWS Glue (PySpark/Python) to process large-scale data efficiently
• Implement and enhance data integration frameworks leveraging Glue Data Catalog, Crawlers, and S3/JDBC sources
• Develop high-performance data processing logic using PySpark, Python, and SQL
• Contribute to cloud data migration initiatives from on-premises systems to AWS (RDS PostgreSQL/Aurora) using AWS SCT, DMS, or custom frameworks
• Orchestrate and manage data workflows using AWS Step Functions, Glue Workflows, and event-driven services
• Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions
• Monitor, troubleshoot, and optimize data pipelines using CloudWatch and other AWS monitoring tools
• Ensure data quality, performance, and reliability across all data engineering processes
• Follow best practices in coding, testing, and deployment to maintain high-quality deliverables

Skills

• 10+ years of experience in IT with a strong focus on Data Engineering and Analytics
• Proven hands-on experience designing and developing scalable data pipelines using Apache Spark (PySpark)
• Strong expertise in AWS services, including Glue, S3, Lambda, Step Functions, Athena, RDS (PostgreSQL/Aurora), EventBridge, SNS, SQS, SES, and CloudWatch
• Extensive experience building and optimizing ETL pipelines using AWS Glue (PySpark/Python)
• Experience in data migration from on-premises systems to AWS using tools such as AWS SCT and DMS or custom frameworks
• Strong programming skills in Python, SQL, and UNIX Shell scripting
• Experience working with Glue Data Catalog, Glue Crawlers, and handling structured and unstructured data sources
• Solid understanding of data modeling, performance tuning, and optimization techniques for large-scale datasets
• Hands-on experience with UNIX/Linux environments
• Ability to work independently in a fast-paced environment and contribute to complex technical solutions
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
• Experience with serverless and event-driven architectures on AWS
• Strong understanding of data lake and data warehousing concepts
• Hands-on experience with performance tuning and cost optimization in AWS data pipelines
• Familiarity with reporting and BI tools such as Cognos
• Experience working with large-scale, high-volume data processing systems
• Exposure to CI/CD pipelines and DevOps practices for data engineering workflows
• Strong problem-solving skills with the ability to troubleshoot complex data and system issues
• Excellent collaboration and communication skills in a cross-functional environment

Benefits

• Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Company Overview