Senior Data Engineer, Databricks

• Work in development squads, contributing to the definition and evolution of data solutions
• Gather and understand requirements in collaboration with business teams
• Participate in tactical and strategic alignment meetings related to the area of responsibility
• Develop and enhance data pipelines using Databricks and Azure Data Factory
• Support the definition and evolution of data architecture
• Contribute to the design and structuring of a lakehouse, considering data layers and organizational best practices
• Contribute to technical decisions and guidance related to data solutions

• More than 5 years of solid experience developing with Databricks
• Experience with Azure Data Factory
• Experience with data modeling
• Knowledge of lakehouse architecture and structuring
• Knowledge of defining and organizing data layers
• Experience developing and maintaining pipelines using Azure Data Factory and/or Databricks
• Ability to work in development environments organized into squads
• Bachelor’s degree
• Adaptability
• Collaboration
• Ownership mindset
• Customer focus

• Meal and food allowance of R$39.71 per day (flexible benefits card)
• Flexible allowance of R$210 per month (flexible benefits card)
• TotalPass
• Health and dental insurance
• Life insurance
• Profit-sharing bonus
• Birthday day off
• Training and certifications funded by Aggrandize
• Employee referral reward program
• Career development path