Senior Data Developer

📋 Description

• Design, develop, and maintain robust and scalable data pipelines using Databricks, Apache Spark
• Build solutions to process and transform large datasets efficiently.
• Monitor and optimize existing data pipelines and workflows, improving performance, scalability
• Collaborate with data scientists, analysts, engineers, and business stakeholders to understand data
• Implement data quality checks and governance practices to ensure data accuracy, consistency, and
• Troubleshoot complex data and pipeline issues, identifying root causes and proposing sustainable

🎯 Requirements

• Solid professional experience in Data Engineering, particularly designing and developing data
• Hands-on experience with Databricks and Apache Spark.
• Strong knowledge of SQL and experience working with large datasets.
• Proficiency in Python or Scala for data engineering.
• Experience working with Microsoft Azure and cloud-based data solutions.
• Strong analytical and problem-solving skills, including the ability to troubleshoot complex data

🎁 Benefits

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
• Profit Sharing and Results Participation (PLR)