Data Engineer

Description

Job Summary: A professional to design, implement, and optimize data pipelines and databases for criminal investigation, operating at the forefront of technologies. Key Highlights: 1. Operating at the forefront of technologies for criminal investigation 2. Focusing on data, AI, and evidence visualization for justice 3. Collaborating with software engineers and data scientists With over 20 years in the market, TechBiz Forense Digital is a national reference in technological solutions for public security and justice, serving law enforcement agencies across the country. Our Research, Development, and Innovation (RDI) division operates at the forefront of technologies applied to criminal investigation, with a focus on data, artificial intelligence, and evidence visualization. Our purpose is clear: **deliver technology to those who administer justice.** **Key Responsibilities** * Design and implement efficient, scalable, and secure data pipelines; * Structure large volumes of complex data, with emphasis on entity correlation in investigations, graph modeling, and performance optimization; * Model and implement databases for investigation, prioritizing traceability, integrity, and query efficiency; * Directly contribute to data structuring for investigative systems, correlation algorithms, and analytical intelligence modules; * Integrate data from multiple sources (APIs, relational databases, files, streams); * Collaborate closely with software engineers, data scientists, analysts, and researchers; * Document data engineering workflows, structures, and technical decisions; * Participate in defining product architecture within RDI, with emphasis on scalability and investigative purpose. **Technical Requirements** * Solid experience in data engineering, ETL/ELT pipeline design, and handling large-scale data; * Proficiency in Python for data transformation and orchestration (including libraries such as Pandas, Polars, PySpark, or similar); * Advanced knowledge of complex data modeling, especially for analytical and investigative purposes; * Strong experience with relational databases (PostgreSQL, SQL Server, etc.); **Strategic Differentiator** * Proficiency in graph databases, particularly Neo4j (Cypher, modeling of complex entities and relationships); * Experience with version control tools (Git), orchestration platforms (Airflow or similar), and cloud infrastructure (preferably AWS or Azure); * Knowledge of data security, traceability, and governance practices; * Familiarity with agile methodologies (Scrum, Kanban, Lean Development); * Basic understanding of AI and machine learning frameworks applied to data correlation and classification; **Desirable Differentiators** * Experience with investigative visualization tools (e.g., graph-based interfaces, interactive dashboards); * Experience working on projects involving sensitive or confidential data (government, justice, security); * Prior participation in applied research projects or development of solutions for the public sector. Work Mode: Hybrid (preferably Belo Horizonte and Rio de Janeiro)