Senior Software Engineer – Enterprise Data Warehousing

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $80k - $180k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

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Logo of The Home Depot

The Home Depot

10,000+ employees

Founded 1978

🏗️ Construction

📦 Logistics

🛒 Retail

💰 Debt Financing on 2007-07

Construction • Logistics • Retail

The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.

📋 Description

• Independently develop and consistently redesign/refactor products to adapt to customer and associate needs • Develop, test, deploy, and maintain software • Develop functional and destructive test suites to enable rapid code deployment • Participate in product and tool selection, configuration, security, resilience, performance tuning, and production monitoring • Collaborate with team members in agile processes • Work with the Product Team to ensure user stories are valuable, developer-ready, understandable, and testable • Support production applications • Guide junior engineers on modern software development frameworks • Lead technical discussions • Mentor less experienced engineers

🎯 Requirements

• Must be eighteen years of age or older • Must be legally permitted to work in the United States • Bachelor's degree program or equivalent degree in a field of study related to the job • Minimum 3 years of work experience • Experience with enterprise data warehousing • Experience with ETL (building, extracting, loading) • Data engineering background • Experience with Python and SQL • GCP experience • Experience with Java and JavaScript

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