Senior Data Engineer

Job not on LinkedIn

🔥 1 hour ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.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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WIN Home Inspection

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1993

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

WIN Home Inspection is the leading home inspection franchise in the United States. They offer a franchise opportunity that allows entrepreneurs to own and operate their own home inspection business with the support of the largest team in the industry. WIN provides over 35 essential inspection services and comprehensive training, technology, and marketing support to franchisees. Known for its extensive support system and innovative tools, WIN has been consistently ranked as the top home inspection franchise in the U. S. The company is particularly committed to supporting veterans, offering special programs and discounts to help them transition into business ownership.

📋 Description

• Collaborate with cross-functional teams to define data requirements, perform data collection, and ensure data quality and integrity • Curate datasets through hands-on analyses and automated tools, including web scraping, ETL pipelines, and SQL queries • Conduct research and analysis to identify new data sources and complement existing sources • Design and maintain BI dashboards, reports, and visualizations to communicate complex data and insights • Identify actionable business insights through analysis of data trends, patterns, and correlations • Own documentation of data processes, schemas, and datasets • Build using best practices in security, design, and data quality

🎯 Requirements

• Bachelors in computer science or related technical field • 2-5 years of experience in data analysis • Experience with Python, SQL, Excel, Tableau, Looker, PowerBI, and visualization tools • Experience with data querying, manipulation, and integration scripting is a plus • Experience with enterprise cloud computing and storage platforms such as AWS and GCP • Ability to understand and break down problems and propose clear solutions • Willingness to learn new technologies and platforms

🏖️ Benefits

• Highly inclusive and collaborative culture built on mutual respect • Focus on core values, initiative, leadership and adaptability • Strong emphasis on personal and professional development • Flexibility to work remotely and/or hybrid indefinitely

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