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Python data analyst


VARITE INC


Location

Bangalore | India


Job description

Company Name : VARITE India Private Limited

About The Client

A technology solutions company based in India specializes in providing services such as product engineering, digital transformation, and network services. With a focus on delivering cutting-edge solutions, the company assists businesses in implementing innovative technologies across various industries, including automotive, telecommunications, and healthcare. It remains a significant player in the technology sector, contributing to advancements in product engineering and digital solutions on a global scale.

About The Job

  • Snowflake + AWS+ Python - pandas, numpy, matplolib

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India - VARITE.

Unlock Rewards: Refer Candidates and Earn.

If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral: 0-2 years INR 5,000 2-6 years INR 7,500 6+ years INR 10,000

About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Opportunity Employer

VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.


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