Palácio das Ferramentas
eCommerce • Retail • Hardware
Palácio das Ferramentas is a Brazilian e-commerce retailer and physical-store operator specializing in tools, machines and accessories for both professionals and DIY consumers. The company offers a wide range of products including power tools, hand tools, compressors, generators, welding equipment, construction and gardening equipment, pool and camping supplies, and automotive parts, with options for in-store pickup, installment payments and customer support. With more than 35 years in the market, it focuses on supplying equipment for construction, automotive, agriculture and home improvement needs.
201 - 500 employees
Founded 1992
🛍️ eCommerce
🛒 Retail
🔧 Hardware
Data Architect
Job not on LinkedIn
October 15
🗣️🇧🇷🇵🇹 Portuguese Required
Palácio das Ferramentas
eCommerce • Retail • Hardware
Palácio das Ferramentas is a Brazilian e-commerce retailer and physical-store operator specializing in tools, machines and accessories for both professionals and DIY consumers. The company offers a wide range of products including power tools, hand tools, compressors, generators, welding equipment, construction and gardening equipment, pool and camping supplies, and automotive parts, with options for in-store pickup, installment payments and customer support. With more than 35 years in the market, it focuses on supplying equipment for construction, automotive, agriculture and home improvement needs.
201 - 500 employees
Founded 1992
🛍️ eCommerce
🛒 Retail
🔧 Hardware
📋 Description
• Responsible for data modeling and structuring our data warehouse (DW). • Handle requests for new databases and integrations. • Make data available. • Create data visualizations. • Assist in structuring and maintaining the BI and Data area.
🎯 Requirements
• Experience with data visualization tools (preferably Power BI); • Database design and structuring; • Strong analytical skills; • Building and/or managing data warehouses (DW); • Considered a plus: • Experience with Spark, PySpark, Hadoop, Pentaho, Talend (at least two); • Experience working with Big Data; • Participation in Data Science projects; • Statistics; • Familiarity with agile working methods. • Experienced data professional with education: • Completed higher education (all fields welcome).
🏖️ Benefits
• Life insurance • Health insurance • Day off • Gympass • Dental insurance
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