Gartner Recruitment Data Engineer-ADF In 2023

If You Have Recently Graduate & Bachelor’s Degree Now is Good News For You, Gartner Recently Launch a Gartner Recruitment Data Engineer-ADF In 2023

Gartner, a leading research and advisory company, offers a Data Engineer-ADF position in Gurgaon, India. Here are some key details about the position:

Here Are More Information About Gartner Recruitment Data Engineer-ADF In 2023

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About the Gartner

Gartner, Inc. is an American technological research and consulting firm based in Stamford, Connecticut that conducts research on technology and shares this research both through private consulting as well as executive programs and conferences. Its clients include large corporations, government agencies, technology companies, and investment firms.

In 2018, the company’s client base consisted of over 12,000 organizations in over 100 countries. As of 2022,it has over 15,000 employees located in over 100 offices worldwide. It is a member of the S&P 500.

Gideon founded , Inc in 1979.[4] Originally private, the company launched publicly as Gartner Group in 1986 before Saatchi & Saatchi acquired it in 1988.

In 1990, Group was acquired by some of its executives, including himself, with funding from Bain Capital and Dun & Bradstreet.[5] The company went public again in 1993.[6] In 2000, the name was simplified from Group to .

In 2000, coined the term Supranet. Gene Hall has been the CEO of the company since August 2004.

In the course of its growth, Gartner has acquired numerous companies providing related services, including Real Decisions—which became Measurement, now part of consulting division—and Dataquest, a market research firm.[citation needed] It has also acquired a number of direct competitors, Meta Group in 2005, AMR Research and Burton Group in early 2010, and Ideas International in 2012.

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In March 2014, Gartner announced that it had acquired the privately held company Software Advice for an undisclosed amount.

In 2014, Gartner also coined the term “Digital BizOps” and further developed the early philosophy for digital business operations In July 2015, Gartner acquired Nubera, the business app discovery network that owns properties like GetApp (a peer review site), AppStorm, AppAppeal, and CloudWork. Terms of the deal were not disclosed. In September 2015, it acquired the privately held peer review site (PRS) Capterra.

In June 2016, Gartner announced that it had acquired the privately held company SCM World, headquartered in London, U.K. On January 5, 2017, Gartner announced it had reached an agreement to acquire CEB, Inc. in a cash and stock deal worth about US$2.6 billion. On March 7, 2017, Gartner announced that it has agreed to buy New York–based L2 Inc, which specializes in benchmarking the digital performance of brands. Terms of the deal were not disclosed.

Who are we?

Gartner delivers actionable, objective insight to executives and their teams. Our expert guidance and tools enable faster, smarter decisions and stronger performance on an organization’s mission-critical priorities. We’ve grown exponentially since our founding in 1979 and we’re proud to have over 19,500 associates globally that support over 15,000 client enterprises in more than 100 countries.

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What makes Gartner a great place to work?

Our teams are composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities, and generations. We believe that a diversity of experiences makes us stronger—as individuals, as communities, and as an organization. That’s why we’re recognized worldwide as a great place to work year after year. We’ve been recognized by Fortune as one of the World’s Most Admired Companies, named a Best Place to Work for LGBTQ Equality by the Human Rights Campaign Corporate Equality Index, and a Best Place to Work for Disability Inclusion by the Disability Equality Index. Looking for a place to turn your big ideas into reality? Join #LifeAtGartner

Eligibility Criteria

Strong SQL skills

Excellent knowledge of relational database concepts

Experience with reporting tools, Power BI preferable

Experience with ETL tools, Azure Data Factory preferable

Excellent communication and collaboration skills

2-4 years of experience in the Design and Development of Cloud-based data models, Azure experience preferable.

Experience in reporting, analytics, model development, and/or data science

Strong desire to improve upon their skills in software development, frameworks, and technologies

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Role and Responsibility

Design, build and automate the deployment of data pipelines and applications to support data scientists and researchers with their reporting and data requirements.

Participate in architecture design and implementation of high-performance, scalable and optimized data solutions.

Integrate data from a wide variety of sources, including on premise databases and external data sources with rest APIs and harvesting tools.

Collaborate with internal business units and data science teams on business requirements, data access, processing/transformation and reporting needs and leverage existing and new tools to provide solutions.

Effectively support and partner with businesses on implementation, technical issues, and training on the data lake ecosystem

Work with teams on managing AWS and Azure resources (EMR, ECS clusters, etc.) and continuously improve the deployment process of our applications

Work with administrative resources and support provisioning, monitoring, configuration, and maintenance of AWS and Azure tools.

Promote the integration of new cloud technologies and continuously evaluate new tools that will improve the organization’s capabilities while leading to a lower total cost of operation.

Support automation efforts across the data analytics team utilizing Infrastructure as Code (IaC)

Work with the team to implement data governance, access control and identify and reduce security risks.

Preferred Skill

Experience working with both structured and unstructured data

Experience with version control tools (Git, Subversion)

Experience using automated build systems (CI/CD)

Experience working in different programming languages (Java, python)

Experience of Data Structures and algorithms

Knowledge of different database technologies (Relational, NoSQL, Graph, Document etc…).  This should include building and managing scalable data models.

Knowledge of ML model deployment.

Location

India: Gurgaon

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How To Apply?

If You are an Interested candidate You can apply For his job candidates must submit an online application through the Gartner Website.

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