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Snowflake Data Engineer

Exclusive opportunity

Remote

Snowflake Data Engineer

EXL

Snowflake Data Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonSnowflakeAWSPySparkApache AirflowAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,300,000 – ₹2,250,000 / year

Location:

Gurugram, Haryana, India

Work mode:

Remote

Published on:

20 August 2026

What they need


Snowflake Data Engineer

Company: EXL
Experience: 38 years of relevant experience
Location: Gurgaon / Bangalore
Work Mode: Hybrid / Remote
Joining: Immediate Joiners Preferred

Role Overview

EXL is looking for a skilled Snowflake Data Engineer with strong hands-on experience in Python, PySpark, and Snowflake. The ideal candidate should have experience building scalable data pipelines, integrating data from APIs, and working extensively with Snowflake as the primary database/data warehouse

.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Python and PySpark.
  • Work extensively with Snowflake as the primary database/data warehouse.
  • Develop and optimize ETL/ELT pipelines for large-scale data processing.
  • Fetch, ingest, and transform data from REST APIs and other external data sources.
  • Build reliable data ingestion frameworks and integrate multiple data sources into Snowflake.
  • Perform data transformation, cleansing, validation, and quality checks.
  • Optimize Snowflake queries, data models, and warehouse performance.
  • Troubleshoot data pipeline issues and ensure timely resolution.
  • Collaborate with data engineers, analysts, architects, and business stakeholders to deliver data solutions.
  • Follow engineering best practices for code quality, scalability, monitoring, and documentation.
  • Must-Have Skills
  • 38 years of relevant Data Engineering experience.
  • Strong hands-on experience with Snowflake; Snowflake should be the primary database/data warehouse.
  • Strong programming skills in Python.
  • Strong experience with PySpark and distributed data processing.
  • Hands-on experience fetching and processing data from APIs, preferably REST APIs.
  • Strong understanding of ETL/ELT concepts and data pipelines.
  • Good knowledge of SQL and data transformation techniques.
  • Experience working with large datasets and building scalable data solutions.

Good to Have

  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Exposure to orchestration tools such as Airflow.
  • Knowledge of CI/CD and version-control tools such as Git.
  • Experience with Snowflake performance optimization and data modeling.

Candidate Profile

We are looking for candidates who are:

  • Strong technically and hands-on with Python, PySpark, and Snowflake.
  • Comfortable working with API-based data ingestion.
  • Able to independently design and troubleshoot data pipelines.
  • Experienced in working with cloud-based data platforms.
  • Available to join immediately or within a short notice period.

Immediate joiners will be preferred.

Locations: Gurgaon / Bangalore
Work Mode: Hybrid / Remote
Experience: 3–8 Years

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