Company Name:-
Gartner

Job Location:-
Gurgaon, Haryana

Job Summary:-
What makes Gartner a GREAT fit for you? When you join Gartner, you’ll be part of a team with a no-limits mindset that helps the world become smarter and more connected.

We’re the world’s leading research and advisory company that steers clients toward the right decisions with business and technology insights they can’t find anywhere else.

Our associates enjoy a collaborative work environment with exceptional training and career development.

If you like working with a curious, supportive, high-performing team, Gartner is the place for you.

Interested in learning more, view and register for any of our upcoming recruiting events here!
About Gartner Digital Markets:
Gartner Digital Markets is a business unit within Gartner.

Our mission is to help small businesses make the right technology decisions and find the tools they need to grow, optimize, and become more effective at what they do.

The business is comprised of three leading brands—Capterra, Software Advice, and GetApp.

For candidates interested in taking their next career step in the technology space, Gartner Digital Markets offers the fast pace and excitement of working for a startup, the stability and resources of a large, established organization, and the opportunity to be on the front lines of innovation in an industry that is always growing and transforming.

About the role:
We are looking for an experienced Data Engineer with a strong technical and analytical background, to help convert our substantial data assets into value-added offerings for our clients and consumers.

What You Will do:Lead the implementation and support of technological solutions, be responsible for the quality of the team’s technical deliverables, providing guidance and mentorship.

Build data pipelines using scripting languages, analyze complex distributed data deployments and make recommendations to optimize performance to achieve greater scalability.

Design and develop data platforms, development of data extracts, transformation, cleansing and integration of structured and unstructured data using a wide variety of data sources based on SQL and AWS ‘big data’ technologies.

Automating processes, optimizing data delivery, document & maintain data dictionary for data from various sources

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