Skill: Snowflake with Collibra
Exp: 6 to 12 years
Location: Pune
Job Description:
We are seeking a highly skilled and experienced Snowflake Data Engineering Lead to join our data engineering team. The ideal candidate will be an expert in Snowflake, Collibra AWS and its services, Airflow, Snowpark, PySpark, and SQL. This role requires strong leadership capabilities, excellent client communication skills, and the ability to understand business requirements and translate them into technical solutions.
Key Responsibilities:
- Lead the design, development,and deployment of data solutions using Snowflake and AWS services.
- Architect and implement scalable data pipelines using Airflow, PySpark, and Snowpark.
- Implement and support Collibra data governance solutions for banking environments.
- Configure business glossary, metadata, lineage, and governance workflows.
- Define and maintain data governance policies, standards, and controls.
- Support data quality, regulatory compliance, and risk management initiatives.
- Collaborate with business users, data stewards, and technology teams
- Conduct code reviews and provide constructive feedback to team members.
- Troubleshoot and resolve data-related issues and performance bottlenecks.
- Stay updated with the latest trends and technologies in cloud data platforms and analytics.
Required Skills & Qualifications:
- Expert-level proficiency in Snowflake including advanced features like Snowpark & PySpark.
- Hands-on experience with Apache Airflow for orchestrating data workflows.
- Proficiency in PySpark for ETL pipeline processing.
- Advanced SQL coding skills with a focus on performance and scalability.
- Excellent communication and interpersonal skills for client interaction.
- Proven ability to understand business requirements and translate them into technical solutions.
- Experience in leading and managing technical teams.
- Bachelor's or Masters degree in Computer Science, Information Technology, or related field.
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, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.











