Senior Analista de Dados (Databricks e PySpark.)

📋 Description

• Data Exploration and Analysis: Analyze structured and unstructured data to uncover trends
• AI Agents and Multi-Agent Systems: Design and implement agents and multi-agent solutions to
• Process Automation: Propose and implement automated workflows using tools such as n8n and other
• Generative AI Applications: Apply Generative AI concepts to automate tasks, enrich datasets, and
• Data Engineering and Pipelines: Work with large volumes of data, supporting reliable data
• Decision Platform Integration: Integrate analytical solutions with decision-making platforms, such

🎯 Requirements

• Professional Experience: Experience in data engineering, data analysis, or developing data-driven
• AI and Automation: Experience with AI-related projects and pipeline automation, with practical
• Programming and Data Technologies: Knowledge of Python, SQL, Databricks, and PySpark.
• Data Processing: Strong understanding of ETL/ELT processes and data pipeline workflows.
• Development Practices: Knowledge of CI/CD practices and version control using GitHub.
• Cloud Platforms: Familiarity with cloud environments, preferably Azure with Databricks and/or

🎁 Benefits

• Healthcare Coverage: Medical and dental insurance plans.
• Food Allowances: Meal and food allowance benefits.
• Childcare Support: Childcare assistance.
• Parental Leave: Extended parental leave.
• Health and Wellness: Partnerships with fitness facilities and health and wellness professionals
• Profit Sharing: Participation in a profit-sharing program (PLR).