
51 - 200 employees
Founded 2013
💼 Consulting
🏥 Healthcare
📣 Marketing
Consulting • Healthcare • Marketing
FMX Soluções em Tecnologia is a Brazilian IT services and software company that designs and builds custom applications and enterprise software. They provide agile delivery via squads, staff augmentation, ongoing IT support (sustentação), QA, and consulting including LGPD (data protection) compliance. FMX also offers packaged products such as ERP solutions and job-board/marketplace tools, targeting businesses seeking digital transformation and improved IT management.
Likely ghost job
🕒 August 20
🗣️🇧🇷🇵🇹 Portuguese Required
Where this job comes from
Posted on FMX Soluções em Tecnologia's careers page ↗, not through a job board
First seen by Remote Rocketship August 20

51 - 200 employees
Founded 2013
💼 Consulting
🏥 Healthcare
📣 Marketing
Consulting • Healthcare • Marketing
FMX Soluções em Tecnologia is a Brazilian IT services and software company that designs and builds custom applications and enterprise software. They provide agile delivery via squads, staff augmentation, ongoing IT support (sustentação), QA, and consulting including LGPD (data protection) compliance. FMX also offers packaged products such as ERP solutions and job-board/marketplace tools, targeting businesses seeking digital transformation and improved IT management.
• Design, develop, and evolve ETL/ELT data pipelines • Integrate data from databases, APIs, files, and enterprise systems • Evolve Data Lake, Data Warehouse, and Lakehouse architectures • Define data models for consumption by Analytics, BI, and AI applications • Structure data processing, transformation, and quality processes • Implement pipeline monitoring, observability, and failure handling • Support architectural decisions and the definition of technical standards • Ensure solution documentation, version control, and traceability • Advance CI/CD, security, governance, and DataOps practices • Serve as a technical reference in analyzing and resolving complex problems • Provide technical support to less senior professionals
• Advanced SQL • Python applied to Data Engineering • PostgreSQL, SQL Server, Oracle, or MySQL • Relational and dimensional data modeling • Query and data processing optimization and analysis • Solid experience with ETL/ELT pipelines • Integration via REST APIs • Handling JSON, CSV, and Parquet • Knowledge of Data Lake and Data Warehouse architectures • Knowledge of Lakehouse architectures • Data handling, transformation, and quality • Ability to define scalable and sustainable solutions • Experience with AWS, Azure, GCP, or Oracle Cloud • Git and version control • CI/CD • Data security and governance • Experience working in agile environments • Bachelor’s degree or technical degree • Senior-level experience in Data Engineering
• Wellhub • Starbem • Avus (extendable to up to 4 dependents) • iFood Club • Paid recess as agreed • Monthly performance and results bonus through iFood Benefícios
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