Senior Engineer - Data
GLG Gurugram, Haryana, India
Information Services · 1,001-5,000 employees
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About the role
The data engineer will build, monitor, and maintain ETL/ELT pipelines while ensuring data quality and performance across the platform. They will also collaborate with cross-functional teams to design datasets and onboard new data sources using integration tools.
What they look for
Requirements
Candidates must have 5-8 years of experience in data engineering with strong proficiency in Snowflake, Python, SQL, and Airflow. A solid understanding of data modeling, ETL/ELT concepts, and experience working in Agile environments is required.
Full 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.
