Mid-Lever Analytics Engineer

📋 Description

• The Analytics Engineer designs and evolves AI and data products.
• Build data transformation pipelines using DBT and SQL.
• Use Python (Pandas) to query, transform, and analyze data.
• Apply software engineering practices: tests, clean code, reviews.
• Design scalable data pipelines and dashboards for insights.

🎯 Requirements

• DBT experience creating and managing data pipelines.
• Advanced SQL for data querying and transformation.
• Python (Pandas) for data manipulation.
• Azure data services: Data Lake, Data Factory, Blob Storage, SQL DB.
• Azure Databricks and PySpark for Spark jobs.
• Delta Lake and SQL Server / Cosmos DB knowledge.

🎁 Benefits

• Competitive Salary.
• Generous vacation days.
• Generous sick time.
• 100% paid health and dental benefits starting day one.
• Annual profit-sharing distribution.
• Paid parental leave.