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Cognizant Linkedin · Posted 18d ago

AWS Data Engineer

Singapore

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Indexed 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.
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