Job Summary:

We are seeking an experienced Data Engineer to design, build, and optimize scalable cloud data platforms and analytics pipelines. The ideal candidate will have hands-on expertise with Amazon Redshift, Fivetran, Databricks, and dbt, along with strong SQL, data modeling, and data quality practices.

Key Responsibilities:

• Design, develop, and maintain reliable batch and streaming data pipelines.
• Build and optimize data warehouse solutions on Amazon Redshift, including schema design, workload management, query performance, and cost efficiency.
• Configure and manage Fivetran connectors, transformations, monitoring, and incident resolution for source-to-warehouse ingestion.
• Develop scalable data processing workflows and notebooks in Databricks using Spark and Delta Lake.
• Create modular, tested, and documented transformation models using dbt.
• Implement data quality checks, lineage, observability, security, and governance controls.
• Partner with analysts, data scientists, product teams, and business stakeholders to translate requirements into trusted data products.
• Troubleshoot pipeline failures, resolve data issues, and improve platform reliability through automation and monitoring.
• Participate in code reviews, release management, and continuous improvement of engineering standards.

Required Qualifications:

• Strong hands-on experience in data engineering, data warehousing, and ETL/ELT development.
• Advanced SQL skills and experience with relational and dimensional data modeling.
• Production experience with Amazon Redshift, including distribution styles, sort keys, performance tuning, and operational maintenance.
• Experience implementing and supporting Fivetran-based ingestion pipelines.
• Proficiency with Databricks, Apache Spark, and Delta Lake.
• Strong experience with dbt models, tests, macros, documentation, and deployment workflows.
• Proficiency in Python or another data engineering language.
• Experience with Git, CI/CD, orchestration, monitoring, and cloud security fundamentals.
• Strong analytical, troubleshooting, communication, and stakeholder-management skills.

Preferred Qualifications:

• Experience with AWS services such as S3, IAM, Glue, Lambda, and CloudWatch.
• Knowledge of data cataloging, lineage, privacy, access control, and governance practices.
• Experience with an orchestration platform such as Apache Airflow or Databricks Workflows.
• Relevant AWS, Databricks, or dbt certification.

Benefits:

Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise. We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:

• You can pursue innovative career tracks and opportunities here
• You can enhance your professional development through education and dedicated training
• We'll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.

Next Steps:

Please reach out to our friendly and welcoming team today to apply and register your interest in this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.

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.

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, state 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.

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.

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.

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.

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.