Data Engineer Senior

📋 Description

• Prepare, structure, and enable the Snowflake data required to support the Dataiku PO agent POC.
• Design, develop, and maintain data pipelines to ingest, transform, normalize, and prepare data from
• Design and implement data ingestion workflows in Snowflake, ensuring scalability, reliability, and
• Develop and maintain data models that support analytical use cases and the requirements of the POC.
• Implement data quality checks and validation rules to ensure data accuracy, consistency
• Use SQL and Python to process, transform, and validate large datasets efficiently.

🎯 Requirements

• 5+ years of experience in Data Engineering or Data Analytics roles with a strong engineering focus.
• Strong hands-on experience with Snowflake (must-have).
• Strong SQL skills, including data transformation, querying, and validation.
• Experience with data modeling and preparing datasets for analytical and downstream applications.
• Proven experience in data quality validation, including implementing checks to ensure accuracy
• Experience building and maintaining ETL pipelines and data ingestion workflows.

🎁 Benefits

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Study plans, courses, and additional certifications tailored to your role.
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
• English lessons to support your professional communication.
• Travel opportunities to attend industry conferences and meet clients.