Data Governance Analyst | Python Automation

Description

Job Summary: INDT is seeking a professional to support the structuring, maintenance, and evolution of Data Governance practices, ensuring data quality, integrity, and availability. Key Highlights: 1. Collaborative environment with challenges for learning and growth. 2. Opportunity to develop talents and be valued. 3. Freedom to propose and develop innovative projects. About Us: Since 2001, INDT has been a technology institute that inspires innovation and breathes technology! Development is in our DNA, and we offer a collaborative environment full of challenges for learning and growth. We originated in Manaus (AM) through Nokia and now operate across Brazil, aiming to present our services and Culture to all Brazilian regions. Currently, we have over 200 active employees. For us, eliminating geographical and cultural barriers was merely a consequence of believing that nothing is impossible. Therefore, today more than ever, we can look in the mirror and think: we work at a company that lives and grows every day! Do you want the opportunity to develop your talents? Do you want to work in an excellent work environment alongside colleagues who will support you on your journey? Do you want an incredible experience of feeling valued? Do you want to enhance your daily deliverables and projects with inspiring leaders? Do you want freedom to propose and develop innovative projects, with autonomy and leadership? Then join us in making a difference! \#VEMSERINDT Requirements: Main Responsibilities: * Support the structuring, maintenance, and evolution of Data Governance practices (policies, standards, and processes). * Ensure data quality, integrity, and availability across different layers and domains. * Automate governance controls and routines using Python to optimize workflows and analyses. * Create and monitor governance and compliance metrics (Data Quality, lineage, cataloging, etc.). * Collaborate with Engineering, Analytics, and Security teams to strengthen data culture. **Technical Requirements:** * Experience with data processing (Pandas, PySpark) [mandatory] * Experience with LLMs (Amazon Bedrock) [mandatory] * Experience with API development (FastAPI, Flask) [mandatory] * Solid experience in Data Governance / Data Quality Management. * Proficiency in Python for process automation and integrations. * Knowledge of SQL and relational databases. * Experience with data catalog and lineage tools (e.g., Collibra, Alation, DataHub). * Cloud environment experience (AWS, GCP, or Azure) is desirable. Benefits * Medical Assistance * Dental Assistance * Meal Voucher * Remote Work Allowance * Total Pass