Senior Analista de Dados (Databricks e PySpark.).

Accountabilities

• Data Exploration and Analysis: Analyze structured and unstructured data to uncover trends, relationships, patterns, and opportunities for process optimization and improved customer experiences.

• AI Agents and Multi-Agent Systems: Design and implement agents and multi-agent solutions to automate workflows, generate insights, and support data-driven decision-making.

• Process Automation: Propose and implement automated workflows using tools such as n8n and other modern automation technologies.

• Generative AI Applications: Apply Generative AI concepts to automate tasks, enrich datasets, and generate actionable business insights.

• Data Engineering and Pipelines: Work with large volumes of data, supporting reliable data processing and ensuring data quality, consistency, and integrity across ETL/ELT pipelines.

• Decision Platform Integration: Integrate analytical solutions with decision-making platforms, such as FICO, to support process optimization and improve analytical outcomes.

• Graph Analytics and Relationship Discovery: Apply graph techniques to identify complex relationships, connections, clusters, and patterns among customer registration entities, uncovering opportunities and potential insights.

• Technology Research and Innovation: Monitor emerging technologies and industry trends to identify opportunities for improving customer registration data processes and analytical capabilities.

• Reporting and Executive Communication: Prepare analytical reports and executive presentations, including PowerPoint materials, to communicate findings, recommendations, and business impact clearly.

• Documentation and Knowledge Sharing: Document methodologies, processes, analytical approaches, and results in a structured and accessible manner.

• Continuous Improvement: Recommend innovative approaches and enhancements that improve data solutions, automation, and business outcomes.

Requirements:

• Professional Experience: Experience in data engineering, data analysis, or developing data-driven solutions.

• AI and Automation: Experience with AI-related projects and pipeline automation, with practical knowledge or a strong interest in agent-based and multi-agent systems.

• 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 Google Cloud Platform (GCP).

• Generative AI: Knowledge of Generative AI concepts and modern automation tools is desirable.

• Data Modeling and Quality: Understanding of data modeling principles and data quality practices.

• Graph Technology: Knowledge of graph modeling and analytics, including tools such as Neo4j and Graph Data Science, is a significant advantage.

• Automation Tools: Experience with n8n or other workflow automation platforms is an advantage.

• AI Platforms: Familiarity with Azure Machine Learning, Databricks, and AI platforms is desirable.

• Data Governance and Master Data Management: Experience participating in data governance or Master Data Management (MDM) initiatives is a plus.

• Decision Platforms: Experience integrating or working with decision platforms such as FICO is an advantage.

• Innovation and Digital Transformation: Previous involvement in innovation initiatives or digital transformation projects is desirable.

• Analytical Mindset: Demonstrated curiosity, proactivity, and the ability to investigate complex data challenges and identify opportunities for improvement.

• Communication and Collaboration: Strong communication skills and the ability to work effectively with both technical teams and business stakeholders.

• Results Orientation: A focus on delivering measurable outcomes, continuous improvement, and practical business value.

• Work Arrangement: The position is remote. Candidates residing in the Campinas metropolitan region must attend the local offices in accordance with the applicable attendance policy.

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 through programs including Wellhub (Gympass) and TotalPass.

• Profit Sharing: Participation in a profit-sharing program (PLR).

• Life Insurance: Life insurance coverage.

• Learning and Development: Access to a continuous learning platform, online course partnerships, and language-learning resources.

• Discount Programs: Access to a discount club offering deals on selected products and services.

• Well-being Resources: A free online platform dedicated to physical health, mental health, and overall well-being.

• Parenting Support: Courses focused on pregnancy and responsible parenting.

• Inclusion and Accessibility: Dedicated health and well-being support, inclusion specialists, and affinity groups. Candidates with disabilities can receive guidance on documentation and available accommodations throughout the recruitment process.