Software Engineer (Data Engineer - Azure)

Reposted 2 Days Ago
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Gurgaon, Gurugram, Haryana, IND
In-Office
Mid level
Consulting
The Role
Designs, builds, and optimizes Azure-based data ingestion and transformation pipelines using Data Factory and Databricks. Develops data models, warehouse schemas, metadata management, orchestration, and scalable lakehouse solutions. Maintains Azure infrastructure, creates technical documentation, translates business requirements into development plans, and mitigates delivery risks. Requires strong Python, SQL, Azure, Databricks, data modeling, and pipeline development skills.
Summary Generated by Built In

About Gartner IT:

Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team.
What you will do

  • Design, build, and optimize data ingestion and transformation pipelines from multiple sources using Azure Data Factory and Databricks notebooks
  • Partner with architects and business/data science teams to design scalable, business-aligned solutions on Azure
  • Build and maintain processes for data transformation, data structures, metadata management, and workload/dependency orchestration
  • Design data models and warehouse schemas that enable fast, intuitive analytics
  • Provide technical expertise and thought leadership on cloud architecture and infrastructure strategy within Microsoft Azure
  • Maintain and evolve existing Azure infrastructure, proactively planning for scale and future needs
  • Author clear specification documents covering design, testing, and support processes
  • Translate business requirements into development plans, effort estimates, and project timelines
  • Work cross-functionally with project teams to identify and mitigate risks across design, implementation, and delivery

What you will need

  • 3+ years of professional IT experience, with a strong foundation in data engineering
  • 3+ years of hands-on experience with core Azure data services: ADLS, Data Factory, Databricks, SQL DW, Azure Functions
  • Strong proficiency in Python for data engineering workflows
  • Proven experience designing and building solutions on Azure Cloud, particularly Azure SQL Data Warehouse/DB, Data Factory, Data Lake Store/Blob, and Databricks
  • Hands-on expertise with Databricks for data engineering workloads, including notebooks, Delta Lake, cluster management, and job orchestration
  • Solid grasp of lakehouse architecture principles, with experience implementing them in production
  • Strong SQL skills across relational and NoSQL databases, with particular depth in T-SQL and Azure SQL DW
  • Experience building, debugging, and migrating data pipelines using Azure Data Factory and Databricks notebooks
  • Ability to develop and maintain conceptual, logical, and physical data models
  • Nice to have - familiarity with LLMs and RAG (Retrieval-Augmented Generation) architecture
  • Nice to have - experience in HR analytics

Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.

#LI-VG1

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.


The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to [email protected].

Job Requisition ID:114228

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Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy


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Skills Required

  • 3+ years of professional IT experience with a strong foundation in data engineering
  • 3+ years of hands-on experience with Azure Data Lake Storage, Azure Data Factory, Databricks, Azure SQL Data Warehouse, and Azure Functions
  • Strong proficiency in Python for data engineering workflows
  • Experience designing and building solutions on Azure Cloud
  • Hands-on Databricks experience, including notebooks, Delta Lake, cluster management, and job orchestration
  • Production experience implementing lakehouse architecture principles
  • Strong SQL skills across relational and NoSQL databases, including T-SQL and Azure SQL Data Warehouse
  • Experience building, debugging, and migrating pipelines with Azure Data Factory and Databricks notebooks
  • Ability to develop and maintain conceptual, logical, and physical data models
  • Familiarity with LLMs and Retrieval-Augmented Generation architecture
  • Experience in HR analytics

Gartner Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Gartner and has not been reviewed or approved by Gartner.

  • Strong & Reliable Incentives — Pay is considered strong in sales through robust commission structures with uncapped earning potential and accelerators. High performers can meaningfully increase total earnings when attainment aligns with targets.
  • Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, and vision plans, preventive care, mental health support via an EAP, and annual HSA contributions. Flexible care options and wellness resources add breadth.
  • Parental & Family Support — Paid parental leave is offered for all parents, alongside programs for fertility, nursing, child, and elder care. Dependent care supports and family-focused resources reinforce work-life balance.

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The Company
HQ: Stamford, CT
17,843 Employees
Year Founded: 1979

What We Do

Gartner, Inc. is the world’s leading research and advisory company and a member of the S&P 500. We equip business leaders with indispensable insights, advice and tools to achieve their mission-critical priorities today and build the successful organizations of tomorrow.

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