Senior Data Engineering Analyst

Description

Job Summary: A data professional to lead the design and implementation of complex data architectures, promote data governance, and serve as a technical reference for the team. Key Highlights: 1. Lead the design and implementation of complex data architectures 2. Serve as a technical reference and ensure data governance 3. Develop and enhance Engineering and Data Governance metrics Description: * Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or related fields; * Postgraduate studies 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, ensuring compliance with the Finance Directorate’s data governance policies; * Promote data culture and data democratization within the Finance Directorate, emphasizing the importance of data governance; * Develop and enhance Engineering and Data Governance metrics 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 team, 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 a technical reference for the team, defining coding standards, reviewing deliverables, and guiding resolution of complex problems; * Ensure data governance and security by implementing access policies, encryption, and compliance with LGPD and financial regulations; * Develop and implement data process orchestration and automation solutions to increase team efficiency. 251225020249561360