Data Engineer _ AWS + Python

It's fun to work in a company where people truly BELIEVE in what they are doing!

Data Analytics Engineer- AWS at Fractal.ai

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies.

Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia.

Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.

Experience : 3-5 years

Location : Pan (India)

Responsibilities :

As a Data Engineer, you will be responsible implementing complex data pipelines and analytics solutions to support key decision-making business processes in our client’s domain.

You will gain exposure to a project that is leveraging cutting edge AWS technology that applies Big Data and Machine Learning to solve new and emerging problems for our clients. You will gain a added advantage of working very closely with AWS Professional Services teams directly executing within AWS Services and Technologies to solve complex and challenging business problems for Enterprises.

Key responsibilities include :

• Work closely with Product Owners and AWS Professional Service Architects to understand requirements, formulate solutions, and implement them.
• Implement scalable data transformation pipelines as per design - Implement Data model and Data Architecture as per laid out design.
• Evaluate new capabilities of AWS analytics services, develop prototypes, and assist in drawing POVs, participate in design discussions

Requirements :

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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