This is a fully remote position, open to applicants in Brazil.

📋 Description

• Create data pipelines using Python to ingest and process substantial amounts of information, encompassing time-series data, financial data, and public policy indicators.

• Design sophisticated architectures for relational databases (PostgreSQL) that support financial transactions and NoSQL databases (MongoDB) for handling unstructured data.

• Develop processes for data cleansing, anonymization, and enhancement.

• Maintain database integrity and optimize performance during high concurrency.

• Build intelligent dashboards (BI) utilizing industry-standard tools.

• Act as a technical expert in integrating complex data from diverse sources and formats.

• Ensure compatibility and data integrity across various systems.

• Construct logical and physical data models, including primary and foreign keys, indexes, and views.

• Collaborate with data visualization, data mining, and ETL tools.

⛳️ Requirements

• Completed higher education (technology degree, bachelor's degree, and/or lato sensu or stricto sensu postgraduate degree) in Information Technology.

• Proven experience as a Senior Data Analyst and familiarity with agile development methodologies.

• Advanced proficiency in Python for data engineering.

• Understanding of PostgreSQL.

• Familiarity with MongoDB.

• Knowledge of DAX (Power BI).

• Awareness of LLMs and best practices in prompt engineering.

• Desirable familiarity with Elastic (Elasticsearch), statistics, agentic AI, and machine learning.