Senior Analista de Dados (Databricks e PySpark.)

Jobgether; United States; Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Healthcare Coverage

Food Allowances

Childcare Support

Parental Leave

Health and Wellness programs

Job summary

Jobgether is seeking a data-focused professional to lead data engineering, AI agent development, and automation. You will build and optimize data pipelines, harness Generative AI for automation, and integrate analytics with decision platforms. Strong Python/SQL, ETL/ELT, and cloud experience are required.

You will collaborate with technical and business stakeholders to deliver measurable impact, explore graph analytics, and continuously improve data processes in a remote-capable role.

Qualifications

• Professional experience in data engineering, data analysis, or data-driven solutions.
• Experience with AI projects, automation, and agent-based systems desired.
• Strong Python, SQL and data pipeline skills; familiarity with ETL/ELT.
• Knowledge of CI/CD and GitHub workflows; cloud experience is a plus.
• Understanding of data modeling, data quality, and governance.

Responsibilities

• Analyze structured and unstructured data to uncover trends and opportunities.
• Design and implement data-driven AI agents and multi-agent systems.
• Propose automated workflows using tools like n8n and modern automation tech.
• Apply Generative AI to automate tasks and enrich datasets.
• Build and manage data pipelines, ensuring quality and integrity.
• Integrate analytical solutions with decision platforms (e.g., FICO).
• Explore graph techniques to reveal relationships and insights.
• Stay updated on tech trends and propose improvements.
• Prepare analytical reports and executive presentations.

Skills

Python

SQL

Databricks

PySpark

ETL/ELT

CI/CD (GitHub)

Azure Databricks

GCP

Generative AI

Graph Analytics

n8n

Data Modeling

Neo4j

Data Governance

Tools

Databricks

Neo4j

Graph Data Science

n8n

GitHub

Azure ML

Databricks on GCP

Job description

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.