Job Description
Cognizant
Python+Snowflake Developer
Full-Time
Bangalore , India
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Any Degree
Freshers
Job Description: Python Developer with SnowflakeWe’re looking for a skilled Python Developer with experience in Snowflake to build and optimize data pipelines and support cloud-based data solutions.Key Responsibilities: • Develop ETL/ELT pipelines using Python • Work with Snowflake for data transformation and modeling • Write efficient SQL queries within Snowflake environment • Integrate data from various sources and ensure data quality • Collaborate with data engineers and analysts on scalable solutionsSkills Required: • Strong programming skills in Python • Hands-on experience with Snowflake • Solid understanding of SQL and data warehousing concepts • Familiarity with cloud platforms (AWS/GCP/Azure is a plus)The Cognizant community: We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.Cognizant is a global community with more than 300,000 associates around the world. We don’t just dream of a better way – we make it happen. We take care of our people, clients, company, communities and climate by doing what’s right. We foster an innovative environment where you can build the career path that’s right for you.
Key Responsibilities: • Develop ETL/ELT pipelines using Python • Work with Snowflake for data transformation and modeling • Write efficient SQL queries within Snowflake environment • Integrate data from various sources and ensure data quality • Collaborate with data engineers and analysts on scalable solutions
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