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Gurugram · Hybrid

Specialist, Data Engineer (Python, SQL, Databricks, Pyspark, Basics of AI/LLM)

Full-timePosted
Salary
Not disclosed
Experience
0–2 yearsFreshers welcome
Eligible batches
2024 · 2025 · 2026
Degree
Master's
Location
GurugramHybrid

About the role

Gartner is looking for a Specialist in Data Engineering to join its Tech Market Economics team in Gurgaon. You will design, build, and operate production‑grade data pipelines and AI‑ready data products that power quantitative research and market‑intelligence platforms. The role blends data engineering, analytics and AI, offering exposure to Gartner’s research, forecasting and AI initiatives.

Responsibilities

  • Develop, test and deploy scalable data pipelines and AI‑ready data products using Python, SQL, Databricks and PySpark.
  • Collaborate with product, data‑science, economic modelling and research teams to productionise emerging capabilities.
  • Integrate data from diverse internal and external sources, including databases, APIs and third‑party platforms.
  • Implement automated data‑quality frameworks, validation processes and governance controls.
  • Operate and continuously improve production data platforms, addressing bottlenecks and enhancing resilience.
  • Define and promote data standards, metadata practices, naming conventions and classification frameworks.

Eligibility

  • Master’s degree in Computer Science, Data Science, Statistics, Software Engineering, Information Systems or a related quantitative discipline.
  • 0‑2 years of professional experience in data engineering, data management, analytics or software engineering.
  • Strong problem‑solving mindset, attention to detail and ability to communicate technical concepts to non‑technical audiences.

Skills

  • Proficient Python programming for data pipelines and automation.
  • Solid SQL knowledge and experience with modern data‑engineering technologies.
  • Hands‑on experience with Databricks, Snowflake or similar cloud‑based analytics platforms.
  • Familiarity with ETL/ELT tools, APIs, web‑scraping and data‑extraction techniques.
  • Understanding of software‑engineering best practices: testing, version control, documentation and reusable component design.
  • Knowledge of data quality, governance and metadata management.

Resume keywords

Terms from this listing. Many screening tools match exact words, so mirror the ones you genuinely have.

Asked for

  • Python
  • SQL
  • Databricks
  • PySpark
  • ETL
  • APIs
  • Cloud
  • Data pipelines
  • Data integration
  • Data quality

Nice to have

  • AI
  • LLM
  • Data governance
  • Version control
  • Testing
Tailor my resume with these

Benefits

  • Competitive salary and comprehensive health, parental‑leave and employee‑assistance programs.
  • Generous paid‑time‑off policy and charity‑match program.
  • Hybrid work environment offering flexibility to work remotely or on‑site.
  • Opportunities for professional development, unlimited growth and exposure to cutting‑edge AI initiatives.
Apply now

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Gives business and technology leaders research and advice, and runs conferences and consulting projects, for over 13,000 enterprises in about 90 countries.

Founded 1979 · 5000+ employees · HQ Stamford, Connecticut, United States

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