Senior Data Engineer

Description

São Paulo, SP The company accepts applications from São Paulo and nearby cities Senior To be determined CLT employment regime Job details Responsible for identifying, developing, and maintaining data solutions that ensure efficient collection, storage, processing, organization, and delivery of information for corporate use. Works on creating and optimizing data pipelines, system integration, data quality control, and supporting analytical initiatives, ensuring performance, security, and scalability of data platforms. WHAT WE EXPECT FROM YOU: Bachelor's degree in Computer Science, Data Engineering, Systems Analysis, or related fields. Advanced proficiency in SQL / T\-SQL and PL/SQL. Professional experience with Azure Data Lake, Azure Data Factory, and Azure Databricks. Advanced usage of DBT (Data Build Tool) for data modeling and transformation. Python development for ETL/ELT processes. Experience with Spark / PySpark in distributed environments. Experience with ETL tools such as SSIS and SSAS. Implementation and maintenance of CI/CD pipelines for data. Code versioning with Git, following engineering best practices. Data analysis and visualization using Excel and Power BI (intermediate level). Work model: On-site / Pinheiros, SP. Desirable: Implementation of data monitoring and observability (quality, performance, reliability). Leading data platform and architecture migration projects. Knowledge of Azure cloud infrastructure and security (IAM, Networking, RBAC). Process automation using Power Automate and Logic Apps. CHECK BELOW THE MAIN RESPONSIBILITIES FOR THIS POSITION: Act as a technical reference in defining and evolving the architecture, standards, and best practices supporting the company’s data ecosystem, ensuring consistency, scalability, and alignment with strategic guidelines; Follow defined methodologies and processes (Agile, ITIL, DevOps, or other applicable frameworks), maintaining organization and transparency in activity tracking; Apply and promote practices for versioning, testing, monitoring, and data governance, ensuring stability and quality of deliverables; Lead high-complexity data projects and initiatives autonomously, ensuring quality, performance, security, and compliance with data governance guidelines; Perform advanced optimizations on pipelines, distributed processing, and data structures, ensuring scalability, operational efficiency, and high availability of solutions; Support strategic decisions regarding platform, technologies, roadmap, and evolution of data architecture, including evaluation and recommendation of new solutions, ensuring technical alignment and sustainability for the data ecosystem. To learn more about us, visit www.biolabfarma.com.br and follow our social media channels. Requirements Minimum education Completed undergraduate degree Benefits Medical assistance Dental assistance Gym allowance Private pension plan Life insurance Meal voucher Transportation voucher Pharmacy allowance Flexible working hours Food voucher