Senior Data Engineer

📋 Description

• Develop and implement Snowflake-based governance to ensure data quality, security, and compliance.
• Build automated privacy processes to streamline data protection workflows and reduce manual intervention.
• Support data cleanup initiatives to maintain data integrity and optimize warehouse performance.
• Implement data masking and obfuscation techniques to safeguard sensitive information.
• Assist with JSON field privacy remediation to ensure compliance with data protection standards.
• Collaborate with cross-functional teams to design scalable data architecture and pipeline solutions.

🎯 Requirements

• Advanced proficiency in Snowflake SQL and data warehousing concepts.
• Strong experience with ETL/ELT frameworks and pipeline development.
• Demonstrated expertise in data privacy implementation and governance.
• Hands-on experience processing and manipulating JSON data structures.
• Proficiency in automation scripting (Python, Bash, or similar languages).
• English: Advanced (required for effective communication with global teams).

🎁 Benefits

• Certifications in AWS, Databricks, and Snowflake.
• AI learning paths and Udemy Business access.
• Mentoring and career development programs.
• Travel to industry conferences and client meetings.
• Company-provided equipment and flexible working options.
• English lessons to support communication.