Lead Data Engineer - Remote

Overview

As a Data Engineer, you'll play a crucial role in leading the migration of our data infrastructure from BigQuery to Snowflake, requiring a solid grasp of data engineering principles and a strategic approach to architecture design.

In Short

• Design and implement data architecture solutions for migrating from BigQuery to Snowflake.
• Optimize SQL queries and database structures to improve performance and efficiency.
• Collaborate with cross-functional teams to ensure data integrity and security during the migration process.
• Develop and maintain scripts in Python for automation and data processing tasks.
• Implement best practices for data governance.
• Conduct performance tuning and troubleshooting.
• Document processes, procedures, and configurations.
• Provide technical guidance and mentorship to junior team members.

Requirements

• 5+ years of experience as a Data Engineer or in a related data-focused role.
• Advanced proficiency in SQL, particularly in query optimization.
• Proficiency in Python for automation and data workflows.
• Familiarity with Google Cloud Platform (BigQuery) and Snowflake.
• Experience with Terraform for infrastructure provisioning.
• Strong understanding of data security and governance.
• Knowledge of tools like Dataiku and AWS is a plus.

Benefits

• Every day lunches available at headquarters.
• Flexible working options.
• All equipment needed for work provided.
• Snacks and beverages available every day.
• After office events and sports activities.
• Learning opportunities including AWS certifications.
• Mentoring and development opportunities.
• Anniversary and birthday gifts.
• Great location and team environment.