Senior Data Engineering Analyst

Description

Job Summary: Professional to work on data engineering and governance within the Finance Directorate, leading the design and implementation of complex architectures and ensuring data security and compliance. Key Highlights: 1. Lead the design and implementation of complex data architectures 2. Serve as the technical reference for the team 3. Ensure data governance and security with compliance to the LGPD Description: * Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or related fields; * Postgraduate degree in Engineering, Data Science, or related areas; * Practical experience with ETL/ELT tools (e.g., Airflow, Data Factory, or equivalent); * Data management and administration tools (GCP, Databricks, AWS, SQL Server, and similar); * Experience with data platforms and languages: relational and non-relational databases (SQL Server, Oracle, MySQL); * Proficiency in SQL, Python, and metadata management tools; * Knowledge of tools and services from at least one cloud platform (GCP, AWS, or Azure), such as BigQuery, S3, Databricks, or Snowflake; * Solid understanding of data modeling and Data Warehouse architecture; * Knowledge of the General Data Protection Law (LGPD); * Intermediate technical English is desirable. * Collaborate closely with various organizational areas—including IT, Corporate Governance, and Business—to ensure adherence to the Finance Directorate’s data governance policies; * Promote data culture and democratization within the Finance Directorate, emphasizing the importance of data governance; * Develop and enhance Data Engineering and Governance indicators for the Finance Directorate; * Monitor project schedules, budgets, and deliverables underway in the Finance Directorate; * Serve as a technical reference both within and outside the area, contributing to best practices and fulfilling technical requirements; * Lead the design and implementation of complex data architectures, including Data Lakes, Lakehouses, and Data Warehouses; * Design and build robust, scalable, and highly available data pipelines to handle large volumes of financial and operational data; * Serve as the technical reference for the team, defining coding standards, reviewing deliverables, and guiding resolution of complex issues; * Ensure data governance and security by implementing access policies, encryption, and compliance with the LGPD and financial regulations; * Develop and implement data process orchestration and automation solutions to increase team efficiency. 251225020249561360