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AWS Data Engineer

00067867012

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.


About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

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