Data Analytics Engineer (Azure Data Factory, SQL, Production Support) at Gartner

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

0.0

Posted On

20 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Azure Data Factory, SQL, ETL, Power BI, Problem-Solving, Data Warehouse, Dimensional Modeling, Relational Modeling, Azure Databricks, Performance Tuning, Agile, DevOps, CI/CD, Analytical Skills, Detail-Oriented

Industry

Market Research

Description

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. About the role Senior Data engineer for production support who will provide daily end-to-end support for daily data loads & manage production issues. What will you do: Monitor & support various data loads for our Enterprise Data Warehouse. Support business users who are accessing POWER BI dashboards & Datawarehouse tables. Handle incidents, service requests within defined SLA’s. Work with team on managing Azure resources including but not limited to Databricks, Azure Data Factory pipelines, ADLS etc. Build new ETL/ELT pipelines using Azure Data Products like Azure Data Factory, Databricks etc. Help build best practices & processes. Coordinate with upstream/downstream teams to resolve data issues. Work with the QA team and Dev team to ensure appropriate automated regressions are added to detect such issues in future. Work with the Dev team to improve automated error handling so manual interventions can be reduced. Analyze process and pattern so other similar unreported issues can be resolved in one go. What you will need: Strong IT professional with 2+ years of experience in Data Engineering. The candidate should have strong analytical and problem-solving skills. Must have: 2+ years of experience in Data warehouse design & development and ETL using Azure Data Factory (ADF) Experience in writing complex TSQL procedures on MPP platforms - Synapse, Snowflake etc. Experience in analyzing complex code to troubleshoot failure and where applicable recommend best practices around error handling, performance tuning etc. Ability to work independently, as well as part of a team and experience working with fast-paced operations/dev teams. Good understanding of business process and analyzing underlying data Understanding of dimensional and relational modelling Detailed oriented, with the ability to plan, prioritize, and meet deadlines in a fast-paced environment. Can be added to SDE Knowledge of Azure cloud technologies Exceptional problem-solving skills Nice to have: Experience crafting, building, and deploying applications in a DevOps environment utilizing CI/CD tools Understanding of dimensional and relational modeling Relevant certifications Basic knowledge of Power BI. Who are you: Bachelor’s degree or foreign equivalent degree in Computer Science or a related field required Excellent communication skills. Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment. Owns success – Takes responsibility for the successful delivery of the solutions. Strong desire to improve upon their skills in tools and technologies 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-NS4 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 21,000 associates globally who support ~14,000 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. 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 ApplicantAccommodations@gartner.com. Job Requisition ID:99740 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. At Gartner, we guide the leaders who shape the world. About 14,000 client enterprises worldwide rely on Gartner for actionable, objective business and technology insights. Our teams of thinkers and doers know that staying curious is the best way to shape the future, for ourselves and our clients. Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. 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.

Responsibilities

The Data Analytics Engineer will monitor and support data loads for the Enterprise Data Warehouse and manage production issues. They will also coordinate with teams to resolve data issues and improve automated error handling.