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

- relevant Data Engineering experience.
- Strong hands-on experience with Snowflake; Snowflake should be the primary database/data warehouse.
- Strong programming skills in Python.

📌 Senior Snowflake Data Engineer -Immediate Joiner (Bengaluru)
🏢 EXL
📍 Bengaluru