AWS Data Engineer: PySpark, Serverless & IaC

Cognizant

Singapore

On-site

SGD 110,000 - 170,000

Full time

6 days ago

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Job summary

Cognizant Singapore is seeking an experienced data engineer to design, develop, and maintain scalable data pipelines using PySpark on AWS. You will build and orchestrate ETL/ELT workflows with AWS Glue and Step Functions, and develop serverless apps with AWS Lambda.

You will write clean Python/PySpark code, provision infrastructure with Terraform, and implement CI/CD pipelines to automate deployments. The role focuses on performance, reliability, cost efficiency, and collaboration with business

Qualifications

Strong hands‑on experience with PySpark and Python for data engineering.
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.

Responsibilities

Design, develop, and maintain scalable data pipelines on AWS.
Build and orchestrate ETL/ELT workflows using AWS Glue and Step Functions.
Develop serverless applications and automation using AWS Lambda.
Provision and manage cloud infrastructure using Terraform (IaC).
Implement CI/CD pipelines to automate deployment, testing, and infrastructure changes.
Monitor, troubleshoot, and optimize pipelines for performance and cost efficiency.