Data Engineer

Role & responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Work extensively with Snowflake to build and optimize data warehouses.
• Develop automation scripts and data workflows using Python.
• Manage and integrate data across cloud platforms, primarily AWS (S3, Lambda, Glue, Redshift, etc.).
• Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
• Collaborate with data analysts, scientists, and business stakeholders to deliver high-quality data solutions.
• Ensure data quality, security, and compliance with organizational standards.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.

Preferred candidate profile

• Strong expertise in Snowflake (data modeling, performance tuning, warehouse management).
• Proficiency in Python for data engineering tasks (automation, scripting, API integration).
• Hands-on experience with AWS services (S3, Glue, Lambda, Redshift, EC2).
• Advanced knowledge of SQL (complex queries, stored procedures, optimization).
• Experience with ETL tools and frameworks.
• Familiarity with CI/CD pipelines and version control (Git).
• Understanding of data governance, security, and compliance best practices.