Data Developer Sênior

📋 Description

• Design and maintain scalable ETL/ELT data pipelines.
• Use Azure Data Services and Databricks for processing large data volumes.
• Build data solutions with Databricks and PySpark.
• Query and transform data across SQL and MongoDB.
• Collaborate with teams to deploy AI/ML models in cloud.
• Contribute to MLOps and data governance initiatives.

🎯 Requirements

• Strong data engineering experience in cloud environments.
• Hands-on with Azure Data Services and Databricks; PySpark.
• Experience with MongoDB and SQL for data work.
• Proficient in Python and SQL for data engineering.
• ETL/ELT processes with large data volumes.
• Knowledge of Medallion Architecture and modern data platforms.

🎁 Benefits

• Health and dental insurance.
• Meal and food allowances.
• Childcare assistance and extended parental leave.
• Wellness partnerships and PLR participation.
• Life insurance and learning opportunities.
• Discounts and access to online wellbeing resources.