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.
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.
📋 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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