Senior Data Analyst (Databricks and PySpark)
New
J
JobgetherData analytics
Based in BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLGCPAzureDatabricksGitHubGenerative AIPySpark
Requirements
- Experience in data engineering, data analysis, or developing data-driven solutions.
- Experience with AI-related projects and pipeline automation, with practical knowledge or a strong interest in agent-based and multi-agent systems.
- Knowledge of Python, SQL, Databricks, and PySpark.
- Strong understanding of ETL/ELT processes and data pipeline workflows.
- Knowledge of CI/CD practices and version control using GitHub.
- Familiarity with cloud environments, preferably Azure with Databricks and/or Google Cloud Platform (GCP).
- Understanding of data modeling principles and data quality practices.
- Knowledge of Generative AI concepts and modern automation tools is desirable.
- Knowledge of graph modeling and analytics, including Neo4j and Graph Data Science, is an advantage.
- Experience with n8n or other workflow automation platforms is an advantage.
- Experience participating in data governance or Master Data Management (MDM) initiatives is a plus.
- Experience integrating or working with decision platforms such as FICO is an advantage.
Responsibilities
- Analyze structured and unstructured data to identify trends, patterns, relationships, and opportunities.
- Design and implement AI agents and multi-agent solutions to automate workflows and support data-driven decisions.
- Propose and implement automated workflows using n8n and other automation technologies.
- Apply Generative AI to automate tasks, enrich datasets, and generate business insights.
- Support reliable data processing and maintain quality, consistency, and integrity across ETL/ELT pipelines.
- Integrate analytical solutions with decision platforms such as FICO.
- Apply graph techniques to discover relationships, clusters, and patterns among customer registration entities.
- Prepare analytical reports and executive presentations, including PowerPoint materials.
- Document methodologies, processes, analytical approaches, and results.
- Research emerging technologies and recommend improvements to data solutions and automation.
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