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GL
GLG

Senior Engineer - Data

Gurgaon · Senior

Recently posted - highest visibilityVerified listingPosted 1h ago

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Your match scoreCalculated · locked
86Overall
64Skills
97Experience

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What we know about this role

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MEDIUM

GLG is reviewing applications at a steady pace. Expect a standard response time as they evaluate the current pool.

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Still inside it - posted 1h ago

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Skills required

14 listed
CI/CDOperational SystemsSprint PlanningHedge FundsPrivate EquityExtract Transform Load (ETL)Python (Programming Language)SQL (Programming Language)+6 more
CI/CDOperational SystemsSprint PlanningHedge FundsPrivate Equity

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Job description

Job Summary:

Would you like to be part of building the data pipeline for the entire organization? Help source, organize and provide accessibility to numerous engineering teams, business stakeholders and external partners? GLG is building a next generation platform to transform the existing way we deal with data across the organization.

As a data engineer you will:

  • Cleanse, normalize and enhance quality for both the existing operational systems as well as new data sources that flow through the data platform.
  • Build, monitor, and maintain ETL/ELT pipelines using Python, SQL and Airflow.
  • Design and optimize tables, datasets, and transformations in Snowflake.
  • Develop and support data ingestion workflows, including API integrations, file ingestion, and database connectors.
  • Ensure data quality, reliability, and performance across pipelines.
  • Work in an Agile environment and collaborate with engineering, analytics, and product teams.
  • Use integration tools (e.g., Fivetran, Workato, etc.) to onboard new data sources.

You will have:

  • 5-8 years of experience as a Data Engineer.
  • Strong hands-on experience with Snowflake, Python, SQL, and Airflow.
  • Experience building data ingestion pipelines across APIs, files, and databases.
  • Strong SQL, Data Modeling skills, plus a solid understanding of ETL/ELT concepts.
  • Experience working in Agile teams (Scrum, sprint planning, etc.).
  • Experience with data integration tools is preferred.
  • Knowledge of data engineering best practices across the development lifecycle, including coding standards, code reviews, source management, build processes, testing, and operations.

Nice to Have:

  • Knowledge of cloud platforms (AWS preferred).
  • Experience with Git, CI/CD.

About GLG / Gerson Lehrman Group

GLG is the world’s leading platform for trusted human expertise. We connect global decision-makers—from hedge fund managers and private equity partners to strategy leaders at Fortune 500s—with the specific, authoritative voices required to answer their most critical questions.

At GLG, you are an extension of our clients' core teams. You will work at the intersection of industries and global markets, navigating high-stakes challenges across the full spectrum of their strategic initiatives. Operating within the industry’s most trusted research environment, you’ll help our clients capture the nuanced perspectives that drive smarter, faster business outcomes.

We are a global team of pragmatic problem-solvers who mirror the intensity of the markets we serve. If you are driven by intellectual curiosity and a bias toward action, join us in reinventing the industry we invented.

Gerson Lehrman Group, Inc. (“GLG”) is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, race, religion, color, marital status, disability, gender, national origin, sexual orientation, veteran status, or any classification protected by federal, state, or local law.

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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