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Analyst - Data Engineer
Trafigura
Mumbai, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
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Company
Puma Energy is a leading global energy business that supplies, stores, and distributes petroleum products in 47 countries across six continents. Founded in 1997, Puma Energy has its headquarters in Singapore and Geneva and employs over 8,000 people globally with regional hubs in South Africa, Puerto Rico, and Estonia and has a Global Delivery Centre in Mumbai (India).
Puma Energy has a network of 1948 retail sites and a presence at over 103 airports. Our mission is to energize communities to help drive growth and prosperity by sustainably serving our customers’ needs in high-potential countries around the world
Puma Processing Services LLP (PEPS) established in Year 2018, represents Puma Energy’s first captive offshoring unit and is based in Mumbai, India with over 200 employees. PEPS provides the Puma Group a key advantage of centralizing its core competency in services at one location and allows the group the ability to scale size to increase volumes in key areas. PEPS manages mid-office and back-office activities for Puma Businesses across all its business verticals like Retail, B2B, Aviation, and also enabling functions like IT and corporate. It serves the countries that are a part of the African continent, Middle East, and Asia Pacific and further extends support to the Puma Group in Geneva for its core activities.
Main Purpose
Collaborate with data scientists and business stakeholders to design, develop, and maintain efficient data pipelines feeding into the organization's data lake.
Ensure the data lake contains accurate, up-to-date, and high-quality data, enabling data scientists to develop insightful analytics and business stakeholders to make well-informed decisions.
Utilize expertise in data engineering and cloud technologies to contribute to the overall success of the organization by providing the necessary data infrastructure and fostering a data-driven culture.
Demonstrate a strong architectural sense in defining data models, leveraging the Poly-base concept to optimize data storage and access.
Facilitate seamless data integration and management across the organization, ensuring a robust and scalable data architecture.
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