Lead Data Engineer

• Build, maintain, and optimize scalable data solutions for Journey Analytics initiatives
• Maintain and automate existing GitHub code repositories
• Refactor legacy code for simpler maintenance, updates, and reuse
• Design and build modular, reusable code components
• Develop and manage automated Databricks data pipelines
• Consolidate KPIs, metrics, and attributes into standardized data structures
• Build and maintain scalable data models for journey analytics
• Ensure data quality, performance, and reliability across pipelines and analytics datasets
• Collaborate with analytics and engineering teams to improve data processes and architecture

• Hands-on experience developing and maintaining data pipelines in Databricks
• Strong hands-on experience with Python for data processing and transformation
• Strong experience with SQL and large-scale datasets
• Experience in data validation, data transformation, and normalization
• Experience building and maintaining ETL pipelines and handling data ingestion workflows
• Strong attention to detail with a focus on data quality and reliability
• Strong understanding of data modeling and reusable component design
• Experience building scalable data models for analytics and reporting use cases
• Strong focus on data quality, performance, and reliability
• Ability to work in cross-functional environments and contribute to continuous improvement
• Excellent written and verbal English
• At least 5+ years of experience in data engineering or similar roles

• Certifications in AWS, Databricks, and Snowflake
• Access to AI learning paths
• Study plans, courses, and additional certifications tailored to the role
• Access to Udemy Business
• English lessons
• Travel opportunities to attend industry conferences and meet clients
• Career development plans and mentorship programs
• Special day rewards for birthdays, work anniversaries, and other personal milestones
• Company-provided equipment
• Flexible working options
• Other benefits may vary according to location in LATAM