Senior Data Engineer

📋 Description

• Design, develop, and maintain data pipelines from multiple sources.
• Lead ingestion architectures in Snowflake for scalability.
• Apply data validation to ensure accuracy, consistency, reliability.
• Transform and normalize data to support analytics and reporting.
• Work with large datasets using SQL and Python to process data efficiently.
• Ensure data quality with validation rules, checks, monitoring.

🎯 Requirements

• 4+ years in data engineering or data analytics with strong engineering focus.
• Strong hands-on Snowflake experience.
• Strong Python experience for data processing and transformation.
• Strong SQL experience with large-scale datasets.
• Proven data validation, transformation, and normalization experience.
• Experience building and maintaining ETL pipelines and ingestion workflows.

🎁 Benefits

• Certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Udemy Business access for thousands of courses.
• English lessons to support your professional communication.
• Travel opportunities to attend industry conferences and meet clients.
• Mentoring and development programs to help shape your path.