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EN
Hybrid
São Paulo, SP, Brazil
Salary Range
Not informed
Experience Level
Senior
Requirements
Tasks and Responsibilities
Show originalItatiaia is one of the largest furniture and home appliance manufacturers in Brazil. With over 60 years of history, the company is a national reference in kitchens, steel furniture, and home products, combining tradition, innovation, and quality.
We are seeking a Senior Data Engineer to serve as the first member of our Data Engineering team, working directly with technical leadership and strategic business areas. This is a high-impact position offering significant autonomy and the opportunity to shape the evolution of the company's data platform.
Key Responsibilities
- Develop and maintain data pipelines using a Lakehouse/Medallion architecture (Bronze, Silver, and Gold).
- Build transformations using PySpark, Python, and SQL.
- Integrate data from various corporate sources, including SAP and SharePoint.
- Ensure data quality, observability, governance, and security.
- Model data for analytical consumption in Power BI.
- Evolve CI/CD processes and engineering best practices.
- Work directly with business units to gather requirements and translate business rules into data solutions.
- Support the definition of data architecture and contribute to the future expansion of the team.
Requirements
- Solid experience in Data Engineering.
- Advanced knowledge of Python, PySpark, and SQL.
- Experience with Lakehouse/Medallion architectures and Delta Lake (or equivalent technologies).
- Hands-on experience with modern cloud data platforms such as Microsoft Fabric, Azure Synapse, Databricks, AWS, or Google Cloud.
- Experience orchestrating data pipelines.
- Knowledge of dimensional modeling for analytics.
- Experience with Data Quality, observability, and data governance.
- Familiarity with Git, Code Review, and CI/CD processes.
- English proficiency for reading technical documentation.
Differentials
- Experience with Microsoft Fabric.
- Knowledge of SAP integrations.
- Experience with REST/OData APIs.
- Microsoft certifications related to Data Engineering.
- Experience in retail, manufacturing, or consumer goods environments.
What We Are Looking For
We are looking for someone with a strong business mindset, autonomy, rapid learning ability, and excellent communication skills. Someone who enjoys solving complex problems, building scalable solutions, and working closely with company departments to generate real impact through data.
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