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At Cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide. A Great Place To Work where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant we promote an inclusive culture, where we value different perspectives providing career growth and development opportunities.

We are looking for a highly skilled Analytics Data Engineer with hands‑on experience in Snowflake to join our data and analytics team. The ideal candidate will be responsible for designing, developing, and deploying scalable data pipelines and analytics solutions. This role requires strong capabilities in data analysis, solution design, and data modeling, along with a deep understanding of modern cloud data platforms

• Collaborate with business stakeholders, data analysts, and architects to understand data requirements and translate them into technical solutions.
• Design and implement ETL/ELT pipelines using Matillion to ingest, transform, and load data into Snowflake.
• Develop and maintain data models (conceptual, logical, and physical) to support analytics and reporting needs.
• Optimize Snowflake data warehouse performance through partitioning, clustering, and query tuning.
• Ensure data quality, integrity, and governance across all data assets.
• Participate in the analysis and design of data solutions, ensuring alignment with business goals and technical standards.
• Automate data workflows and support CI/CD practices for data pipeline deployment.
• Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal downtime.
• Document data flows, models, and transformation logic for transparency and maintainability.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
• 4+ years of experience in data engineering or analytics engineering roles.
• Strong hands‑on experience with Snowflake and Matillion.
• Proficiency in SQL, Python, and data modeling techniques. Nice to have
• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with data warehousing concepts, dimensional modeling, and data lake architectures.
• Understanding of data governance, metadata management, and data security best practices.
• Excellent problem‑solving and communication skills.

• Experience with dbt, Airflow, or other orchestration tools.
• Knowledge of CI/CD pipelines and DevOps practices in data engineering.
• Exposure to BI tools like Power BI, Tableau, or Looker.
• Certifications in Snowflake, Matillion, or cloud platforms (e.g., AWS Certified Data Analytics).

Improve your career in one of the largest and fastest growing IT services providers worldwide

Receive ongoing support and funding with training and development plans

Have a highly competitive benefits and salary package

Get the opportunity to work for leading global companies

We are committed to respecting human rights and build a better future by helping your minds and the environment

We invest in people and their wellbeing.

We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered.

At Cognizant we believe than our culture make us stronger!

Join us now!

#BeCognizant #IntuitionEngineered

Cognizant es un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados recibirán consideración para el empleo sin distinción de sexo, identidad de género, orientación sexual, raza, color, religión, origen nacional, discapacidad, estado de veterano protegido, edad o cualquier otra característica protegida por la ley.