About the Company: Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

About the Role: Consultant, Data EngineeringData Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.Join us to do the best work of your career and make a profound social impact as a Consultant, Data Engineering on our Data Engineering Team in Bangalore. What you’ll achieveAs a Consultant, Data Engineering, you will be responsible for developing technical tools and programs to automate the data management process, integrating medium to large structured data sets. You will have the opportunity to partner with Data Scientists, Architects or Businesses to design strategic projects and improve complex processes.You will:Design and build analytics solutions that deliver transformative insights from extremely large data sets.Design, develop, and implement web applications for self-service delivery of analytics.Design and develop APIs, database objects, machine learning algorithms, and necessary server-side code to support applications.Work closely with team members to quickly integrate new components and features into current application ecosystem.Continuously evaluate industry trends for opportunities to utilize new technologies and methodologies, and implement these into the solution stack as appropriate.

Key Responsibilities: Design and build analytics solutions that deliver transformative insights from extremely large data sets. Design, develop, and implement web applications for self-service delivery of analytics. Design and develop APIs, database objects, machine learning algorithms, and necessary server-side code to support applications. Work closely with team members to quickly integrate new components and features into current application ecosystem. Continuously evaluate industry trends for opportunities to utilize new technologies and methodologies, and implement these into the solution stack as appropriate.