Amsterdam, Amsterdam, Netherlands
What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU - people with an entrepreneurial spirit who want to make a difference in this world.
At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the worlds leading companies and help them become more flexible, more innovative and successful. And this is your chance to be part of the success story: we are looking for an Azure Data Engineer to join our Artificial Intelligence & Analytics Team.
About Cognizant Digital Business – Artificial Intelligence & Analytics
We help our customers leverage Artificial Intelligence and analytics in building technology solutions to improve the quality of human life. We are the market leaders in the data and analytic space with 22,000+ information & data management, AI and analytics professional helping more than 650+ customers across the globe to build and run intelligent businesses, using an AI-first, human-centric, platform driven and design thinking approach
For more information? Please visit https://www.cognizant.com/ai
You as senior technologist will be part of the strategic drive to in working along with multi-discipline teams through the full delivery lifecycle of complex data products and pipelines with a clear understanding of large-scale data engineering and data science solutions, deliver use cases for one of our customers and develop practical solutions and implement them to give this customer a competitive edge with in the enterprise.
You will have breadth of experience in both engineering and architecture across technology disciplines and the unique challenges of each, including software development, automated test and quality assurance, data and integration.
Delivering a high quality and innovative data driven solution to our client’s advance analytical needs. This will include, working within a team on the clients site: understanding the client’s pain, designing an analytical approach, implementing a solution, ensuring it is of high quality, and leading and mentoring multi discipline technology teams.
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