GLG Logo

GLG

Senior Engineer - Data

Posted 14 Days Ago
Be an Early Applicant
In-Office
Gurugram, Haryana
Senior level
In-Office
Gurugram, Haryana
Senior level
Build and maintain organizational data pipelines using Python, SQL, Airflow, and Snowflake. Responsibilities include data cleansing, normalization, ingestion through APIs, files, and databases, ETL/ELT development, data modeling, pipeline monitoring, and quality optimization. Collaborate with engineering, analytics, and product teams in an Agile environment, using integration tools and software development best practices.
The summary above was generated by AI

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.

Similar Jobs

7 Days Ago
In-Office or Remote
India
Senior level
Senior level
Cloud • Security • Software • Cybersecurity
Develop statistical and machine learning models to optimize Akamai’s global mapping service. Analyze massive telemetry streams, build predictive observability tools and automated data pipelines, define reliability metrics, investigate outages, and guide architecture and technology investment decisions. Collaborate with product engineers and communicate complex quantitative insights to technical and executive stakeholders.
Top Skills: AlertingComputer Networking ProtocolsDistributed SystemsGrafanaLinuxLoggingMachine LearningNoSQLNumpyObservabilityPandasPythonPyTorchRScikit-LearnSQLStatistical ModelingTensorFlowTime-Series ForecastingUnix
15 Days Ago
In-Office
Senior level
Senior level
Information Technology • Consulting
Build production-grade data ingestion and transformation pipelines using Databricks, PySpark, Delta Lake, and Microsoft Fabric. Develop LLM and AI agents, MCP servers, and governed AI data access solutions. Apply dimensional modeling, data quality, reconciliation, lineage, and governance practices while integrating enterprise systems. Partner with technical and business stakeholders to deliver data solutions, with preferred expertise in financial data engineering, FP&A, TBM classification, financial controls, and agentic workflows.
Top Skills: DatabricksDatabricks WorkflowsDelta LakeFabric LakehousesLangchainLanggraphLlmMcpMicrosoft FabricMicrosoft OnelakeOnelake ShortcutsPysparkPythonSQLUnity Catalog
One Month Ago
In-Office
Senior level
Senior level
Professional Services • Consulting • Financial Services
Build and maintain MDM data pipelines, Airflow DAGs, data models, transformations, and data products. Optimize SQL, BigQuery, and pipeline performance while applying data governance and secure-by-design principles. Collaborate with global technical and non-technical stakeholders, document solutions, support CI/CD, and work independently within Agile delivery frameworks. The role requires financial services experience, MDM platform expertise, strong risk management awareness, and familiarity with change, incident, and problem management.
Top Skills: Amazon RedshiftAmazon Web ServicesApache AirflowArgo CdBambooBitbucketConfluenceDbtGitGithub ActionsGoogle BigqueryJIRAMaster Data ManagementPythonSnowflakeSQL

What you need to know about the Chennai Tech Scene

To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account