Data Engineer, AI

Job not on LinkedIn

🔥 9 minutes ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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FMX Soluções em Tecnologia

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Develop and maintain ETL/ELT data pipelines • Integrate data from databases, APIs, files, and enterprise systems • Build and evolve Data Lake, Data Warehouse, and Lakehouse solutions • Design data models for consumption by Analytics, BI, and AI • Develop data cleansing, transformation, and quality processes • Implement monitoring and error handling for pipelines • Document integrations, data models, and business rules • Work with version control and CI/CD processes • Support data governance, security, and quality practices • Contribute to the technical evolution of the data platform and architecture • Collaborate closely with Engineering, Architecture, Analytics, AI teams, and business stakeholders

🎯 Requirements

• Advanced SQL • Python applied to Data Engineering • Relational databases such as PostgreSQL, SQL Server, Oracle, or MySQL • Relational and dimensional data modeling • ETL/ELT pipeline development • Integrations via REST APIs • Handling JSON, CSV, and Parquet • Data Lake and Data Warehouse experience • Data cleansing, transformation, and data quality • Experience with AWS, Azure, GCP, or Oracle Cloud • Git and version control • CI/CD concepts • Agile methodologies • Data security and governance • Bachelor's degree or technologist degree • Experience as a mid-level Data Engineer

🏖️ Benefits

• Wellhub • Starbem • Avus (extendable to up to 4 dependents) • iFood Club • Paid leave as agreed • Monthly performance and results-based awards via iFood Benefícios