Description

About Cognizant Consulting

Cognizant Consulting is more than Cognizant's consulting practice-we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending deep industry and technology advisory capabilities, we deliver innovative solutions for Fortune 500 clients worldwide. And now, we're looking for our next colleague to help shape the future of data-led transformation.

About the role

As a Data Engineer (Data Quality & ETL), you will make an impact by designing and delivering trusted data pipelines that underpin analytics, reporting, and AI initiatives. You will be a valued member of our Technology Consulting team, working collaboratively with Data Quality Architects, solution teams, and client stakeholders to build scalable, high-quality AWS-based data platforms.

In this role, you will:

• Design, build, and operate AWS-based ETL pipelines that support analytics, reporting, and migration initiatives
• Partner closely with Data Quality Architects to implement data quality rules, controls, and remediation strategies
• Embed data quality validation into data pipelines to ensure reliability, accuracy, and consistency of data
• Enable data quality reporting and insights using tools such as AWS Athena, Power BI, and Excel
• Collaborate with cross-functional consulting and delivery teams in fast-paced client environments

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

What you must have to be considered

• Experience designing and building ETL and data pipelines in AWS environments
• Hands-on experience with AWS Glue, including ETL jobs and data cataloging
• Strong SQL skills, with experience querying data using tools such as AWS Athena
• Working knowledge of data quality concepts such as completeness, accuracy, and consistency
• Ability to communicate data issues and technical concepts clearly to both technical and non-technical stakeholders

These will help you succeed

• Experience integrating data quality rules into ETL pipelines and reporting workflows
• Exposure to additional AWS services such as S3, Lambda, Step Functions, or CloudWatch
• Experience supporting data migration, modernisation, or platform transformation programs
• Familiarity with CI/CD concepts for data pipelines
• Consulting or client-facing delivery experience

We're excited to meet people who share our mission and can make an impact in different ways. Don't hesitate to apply, even if you only meet the minimum requirements listed-your transferable skills and experiences matter.