Senior Data Engineer

📋 Description

• Design, develop, and maintain data pipelines to ingest, transform, and normalize data from multiple
• Lead the design and implementation of data ingestion architectures in Snowflake, ensuring
• Apply best practices in data validation to ensure accuracy, consistency, and reliability across
• Perform data transformation and normalization to support analytics and reporting use cases.
• Work with large datasets using SQL and Python to process and analyze data efficiently.
• Ensure data quality by implementing validation rules, checks, and monitoring processes.

🎯 Requirements

• 4+ years of experience in Data Engineering or Data Analytics roles with strong engineering focus.
• Strong hands-on experience with Snowflake (Must).
• Strong hands-on experience with Python for data processing and transformation.
• Strong experience with SQL and working with large-scale datasets.
• Proven experience in data validation, data transformation, and normalization.
• Experience building and maintaining ETL pipelines and handling 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.