Job Summary: Responsible for designing, building, and maintaining the company's data infrastructure, ensuring extraction, organization, and availability of corporate data for strategic and operational analysis. Key Highlights: 1. Work on building and evolving the Databricks-based data platform. 2. Perform critical work to transform operational data into strategic assets. 3. Ensure data quality, reliability, and scalability for the company. **Job Description:** ---------------------- Responsible for designing, building, and maintaining the company's data infrastructure, ensuring extraction, organization, and availability of corporate data for strategic and operational analysis. Responsible for building and maintaining the company's Data Lake and Data Warehouse, ensuring data quality, reliability, and scalability for business units, BI, and analytics teams. \- Design, implement, and evolve the company's data architecture, ensuring scalability, security, and efficiency in data storage and processing. \- Structure, administer, and maintain Data Lake and Data Warehouse environments, defining standards for data organization, storage, and access. \- Define and implement standards for data ingestion, transformation, and storage, ensuring information consistency and reliability. \- Develop and maintain data ingestion and processing pipelines (ETL/ELT), automating data update and processing workflows. \- Ensure data quality, traceability, and reliability throughout the entire processing lifecycle. \- Integrate data from various corporate systems, ensuring consistency across multiple information sources. \- Connect and structure data originating from the Sankhya ERP and other systems used by the company. \- Work on building, maintaining, and evolving the Databricks-based data platform. \- Develop notebooks and data processing pipelines using Python and Spark. \- Optimize performance and scalability of data loading and processing routines. \- Implement best practices for data governance, cataloging, and documentation of data structures. \- Continuously monitor data quality, consistency, availability, and integrity used by the organization. **Mandatory Requirements:** ------------------------------ * Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, Statistics, or related fields * Prior experience: * Data Engineering * Databricks * Python for data processing * Data Lake and Data Warehouse * Knowledge of ETL / ELT development * Advanced SQL knowledge **Desirable Requirements:** -------------------------- * Experience with Sankhya ERP * Experience in integrating data from ERP systems * Knowledge of Spark / PySpark * Experience with pipeline orchestration tools * Experience with dimensional modeling (Kimball) * Experience with data governance and data cataloging * Experience with BI and Analytics **Employment Type:** -------------------------- CLT **PwD (Persons with Disabilities):** -------- YES **Benefits:** --------------- Internal products with discounts Wellhub (Gympass) Transportation Allowance On-site Cafeteria Attendance Bonus Health Insurance Dental Insurance **Work Location:** ---------------------- SUPER FOODS NUTRIÇÃO ANIMAL LTDA \- SLZ **Additional Information:** --------------------------- Your work will be fundamental in transforming operational data into strategic information assets, supporting analyses, KPIs, and corporate decision-making.