AWS Data Engineer
AWS Data Engineer
Cognizant Technology Solutions Asia Pacific Pte. Ltd.3-8 Years
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Job Description
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using PySpark on AWS.
- Build and orchestrate ETL/ELT workflows using AWS Glue and AWS Step Functions.
- Develop serverless applications and automation using AWS Lambda.
- Write clean, efficient, and maintainable Python/PySpark code following engineering best practices.
- Provision and manage cloud infrastructure using Terraform (Infrastructure as Code).
- Implement and maintain CI/CD pipelines to automate code deployment, testing, and infrastructure changes.
- Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
- Collaborate with business stakeholders to deliver data solutions.
- Follow DevOps, security, and coding standards throughout the engagement.
Required Skills
- Strong hands-on experience with PySpark and Python for data engineering.
- Experience developing ETL pipelines using AWS Glue.
- Proficiency with AWS Step Functions for workflow orchestration.
- Experience building serverless solutions using AWS Lambda.
- Hands-on experience with Terraform for Infrastructure as Code (IaC).
- Experience implementing CI/CD pipelines using tools such as GitLab, GitHub Actions, Jenkins, or similar.
- Good understanding of AWS services, data lakes, IAM, S3, CloudWatch, and monitoring.
More Info
About Company
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
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VidhyaLakshmi N
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