Data Engineer - Snowflake & Python

Job Summary :

We are seeking a highly skilled Data Engineer with strong expertise in Snowflake and Python to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have experience in building efficient ETL/ELT workflows, optimizing Snowflake data warehouses, and working with large datasets to support analytics and business intelligence solutions.

Key Responsibilities :

- Design, develop, and maintain data pipelines using Snowflake and Python.

- Implement ETL/ELT workflows for ingesting and transforming large-scale datasets.

- Develop and optimize Snowflake data warehouse structures, schemas, and queries.

- Use Python for data processing, automation, and integration tasks.

- Work with structured and semi-structured data (JSON, Parquet, CSV) in Snowflake.

- Implement data modeling techniques (Star/Snowflake schema) to support analytics.

- Optimize query performance, warehouse usage, and cost management in Snowflake.

- Integrate data from multiple sources such as APIs, databases, and cloud storage.

- Collaborate with data analysts, BI teams, and stakeholders to deliver reliable data solutions.

- Monitor and troubleshoot data pipeline failures and performance issues.

Required Skills :

- 6+ years of experience in Data Engineering or Data Platform roles

- Strong hands-on experience with Snowflake Data Warehouse

- Proficiency in Python for data processing and automation

- Strong SQL development and performance tuning skills

- Experience building ETL/ELT pipelines

- Experience with data modeling and data warehousing concepts

- Knowledge of cloud platforms (AWS / Azure / GCP)

- Experience with version control systems like Git