Lead Data Engineer

• Own the middle layer of the data pipeline, combining Quantum interaction data with account, device, and other operational data sources
• Build and maintain ETL workflows on daily, weekly, and monthly schedules
• Develop and manage AWS processing resources
• Validate outputs and prepare reliable datasets for Tableau
• Design and maintain application data structures that minimize compute requirements and support efficient dashboard performance
• Investigate data discrepancies and troubleshoot pipeline issues
• Adapt workflows as application features and reporting needs evolve
• Collaborate with the engineering lead, data engineers, application developers, and data product owners

• 5+ years of experience in Data Engineering, Data Architecture, or a related field
• Strong hands-on AWS experience, including managing resources for data processing
• Proficiency in SQL
• Experience with Spark
• Experience building ETL pipelines
• Experience integrating multiple data sources
• Experience organizing data for analytics
• Investigative mindset and ability to independently work through ambiguous technical problems
• Collaborative approach and ability to take ownership of assigned work within an established team
• Advanced English (B2+)

• 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 courses
• 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