Senior Analista de Dados (Databricks e PySpark)

CI&TData and AI

Workplace type: Remote; Structured job location: BrazilFull-TimeSenior

Salary not disclosed

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Job Details

Have experience in data engineering or data analysis and developing data-oriented solutions.
Have experience with AI projects and pipeline automation.
Know Python, SQL, Databricks, and PySpark.
Know CI/CD and version control with GitHub.
Have command of ETL/ELT processes.
Be familiar with cloud environments, preferably Azure/Databricks and Google Cloud Platform (GCP).
Have experience or strong interest in agents and multiagents applied to analysis and automation.
Have knowledge of data modeling and data quality.
Knowledge of generative AI (GenAI) and modern automation tools is desirable.
Knowledge of graph modeling and analysis, such as Neo4j or Graph Data Science, is an important differentiator.

Explore and analyze data to identify patterns, opportunities, and process improvements.
Develop agents and multiagents for automation, insight generation, and decision support.
Propose and implement process automation using concepts such as N8N.
Integrate solutions with decision platforms such as FICO.
Work with large volumes of structured and unstructured data, ensuring quality and consistency.
Apply GenAI concepts to automation, data enrichment, and insight generation.
Use graph techniques to identify relationships, clusters, and patterns among entities in Cadastro.
Monitor trends and emerging technologies for application in customer registration data.
Create analytical reports and executive PowerPoint presentations to communicate results.
Document methodologies, processes, and results.

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