What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating many opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world.
At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative, and successful. Moreover, this is your chance to be part of the success story.
Position Summary:
We are looking for an experienced Senior Snowflake Data Engineer with strong expertise in designing, developing, and optimizing scalable cloud data warehouse and analytics solutions. The role requires hands-on experience in Snowflake, Python, DBT, SQL, ETL/ELT frameworks, and data pipeline orchestration. The candidate will be responsible for building secure, reliable, and analytics-ready data platforms using modern data engineering practices, including medallion architecture, automated ingestion, data quality validation, and CI/CD-enabled delivery.
Mandatory Skills:
•Strong hands-on experience in Snowflake, including Snowpipe, Tasks, Time Travel, Cloning, RBAC, secure data sharing, and performance optimization.
•Advanced SQL and PL/SQL skills for data transformation, reconciliation, data quality checks, and complex reporting queries.
•Working knowledge of Python for automation, API-based extraction, data processing, and workflow orchestration.
•Experience with DBT for modular SQL transformations, lineage, testing, documentation, and confirmed-layer data modeling.
•Experience in ETL/ELT tools and frameworks such as Informatica PowerCenter, Apache Airflow, and cloud-based ingestion patterns.
•Strong understanding of data warehousing concepts, dimensional modeling, medallion architecture, and enterprise data platform design.
•Experience working with structured and semi-structured data formats such as CSV, JSON, and Parquet.
•Knowledge of Git-based version control, CI/CD processes, code reviews, and deployment management.
•Exposure to AI-enabled agentic workflows and solutions.
•Ability to collaborate with business stakeholders, BI teams, architects, and engineering teams in Agile/Scrum environments
Duties and Responsibilities:
•Design, develop, and maintain scalable Snowflake-based data warehouse and enterprise data platform solutions.
•Build and manage data ingestion pipelines using Snowpipe, Python utilities, APIs, and cloud storage integrations.
•Develop DBT models and reusable SQL transformations to convert raw data into business-ready datasets for reporting and analytics.
•Implement automated data validation, reconciliation, auditing, and monitoring frameworks to ensure data accuracy, completeness, and compliance.
•Optimize Snowflake workloads, SQL queries, warehouse usage, and transformation logic for performance, scalability, and cost efficiency.
•Design and implement role-based access control, secure data sharing, and data governance practices within Snowflake.
•Orchestrate and monitor ETL/ELT workflows using Apache Airflow and related scheduling tools to ensure reliable production operations.
•Analyze source systems, profile data, identify key data elements, and implement data quality rules based on business and regulatory requirements.
•Collaborate with cross-functional teams to gather requirements, create technical designs, and deliver trusted analytics data products.
•Support Agile delivery ceremonies, mentor team members, conduct technical reviews, and provide production support to meet SLA commitments
Qualifications & Certifications (Optional):
•10+ years of overall IT experience with strong exposure to data engineering, data warehousing, ETL/ELT development, and enterprise analytics platforms.
•5+ years of hands-on experience in Snowflake and Python-based data engineering solutions.
•SnowPro Core Certification preferred or completed.
•Experience across Mining domain enterprise data platforms is an added advantage.
•Strong problem-solving, communication, stakeholder management, documentation, and production support skills.
Salary Range:>$100,000
Date of Posting: 12-Aug-26
Next Steps: If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us.
For a complete list of open opportunities with Cognizant, visit http://www.cognizant.com/careers. Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.
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.
