Data Engineer Lead - Databricks

📋 Description

• Lead end-to-end data migration initiatives, ensuring a smooth, secure, and business-aligned
• Define and communicate data architecture decisions, evaluating impacts, risks, and performance
• Coordinate the discovery and documentation of dependencies, schema inventories, data flows, and
• Own migration and cutover planning, ensuring all activities, validations, and contingency measures
• Serve as the primary liaison between engineering, analytics, product, and business stakeholders
• Translate technical changes in data pipelines, data warehouses, and platform architecture into

🎯 Requirements

• Experience in Data Engineering, including building and optimizing data pipelines.
• Experience working with Databricks, Python, and Spark, building batch and streaming.
• Advanced English Level.
• Familiarity with a BI visualization tool like Looker or Tableau.

🎁 Benefits

• Remote-first culture – work from anywhere! 🌍
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• In-Company English Lessons.
• Birthday off + an extra vacation week (Mutt Week! 🏖️)
• Referral bonuses – help us grow the team & get rewarded!
• Maslow: Monthly credits to spend in our benefits marketplace.