Senior Analista de Dados (Databricks e PySpark.)

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

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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.

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

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

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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.

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

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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.

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

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

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

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

Requirements:

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

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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.

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Programming and Data Technologies: Knowledge of Python, SQL, Databricks, and PySpark.

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Data Processing: Strong understanding of ETL/ELT processes and data pipeline workflows.

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Development Practices: Knowledge of CI/CD practices and version control using GitHub.

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Cloud Platforms: Familiarity with cloud environments, preferably Azure with Databricks and/or Google Cloud Platform (GCP).

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

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

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

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

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

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

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

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

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

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

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

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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:

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Healthcare Coverage: Medical and dental insurance plans.

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Food Allowances: Meal and food allowance benefits.

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Childcare Support: Childcare assistance.

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Parental Leave: Extended parental leave.

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Health and Wellness: Partnerships with fitness facilities and health and wellness professionals through programs including Wellhub (Gympass) and TotalPass.

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

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Life Insurance: Life insurance coverage.

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

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

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

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Parenting Support: Courses focused on pregnancy and responsible parenting.

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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. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1