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 solid 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.
- Valuable 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
📌 Snowflake Data Engineer (Gurugram)
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