PUMA Sports india
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Mumbai · On-site · 10-13 Yrs · Aug 24
Department, Clothing & Shoe Stores · 10000+ Employees · Herzogenaurach, Germany
PUMA is one of the world’s leading sports brands, designing, developing, and selling footwear, apparel and accessories. Founded in 1948, PUMA helps the world’s best athletes and teams perform at their best with its innovative products. Known for its iconic cat logo and the Formstrip, the company offers performance products in categories such as Football, Running and Training. Its Sportstyle collections are rooted in sports and inspire consumers by celebrating sports culture. With its long history and strong heritage, PUMA is proud of having one of the strongest archives in the industry, with many iconic products such as the Suede and the Speedcat. The PUMA Group owns the brands PUMA, Cobra Golf and stichd. The company distributes its products in over 120 countries, employs more than 20,000 people and is headquartered in Herzogenaurach/Germany. For more information, please visit https://about.puma.com.
Hiring: Engineering
What employees say
+ Good work environment and good growth opportunities
− Moving up after a certain level is slow due to high retention
More reviews on the company profile.
Interview experience · People Partner
I had a positive exploratory call with hiring manager, where the role was described as an HRBP position with only light recruitment support. She specifically mentioned it was “stress-free” and that even interns handle hi
Easy difficulty · India · 55 reports
More interview insightsJob description
Overview
Analyst - Data Engineer Company Puma Energy is a leading global energy business that supplies, stores, and distributes petroleum products in 47 countries across six continents.
Responsibilities
- Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. Collaborate with other team members and effectively influence, direct, and monitor project work.
- Develop strong understanding of the business and support decision making.
Qualifications
- Big Data Development experience using Hive, Impala, Spark, and
- familiarity with Kafka. Exposure to machine learning, data science, computer vision .
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