WIN Home Inspection
PropTech
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at WIN Home Inspection. Skills: Data Engineering, Data Analysis, Business Intelligence. Define data requirements. Perform data collection”
Industry & Context.
Understand problems; Break-down problems; Propose clear solutions
What They're Looking For.
Must Have
Bachelors in computer science, 2-5 years of experience in data analysis, Experience with data querying, Experience with data manipulation, Experience with data integration scripting, Experience with enterprise cloud computing, Experience with enterprise storage platforms
Nice to Have
Experience with visualization tools, Experience with web scraping, Experience with ETL pipelines, Experience with SQL queries
What You'll Do.
Define data requirements
Perform data collection
Ensure data integrity
Conduct hands on analyses
Conduct automated analyses
Maintain BI dashboards
Design visualizations
Maintain visualizations
Identify actionable business insights
Analyze data patterns
Analyze data correlations
Own documentation of data processes
Own documentation of schemas
Own documentation of data sets
Build using best practices
How You'll Work.
Team & Collaboration
Cross-functional teams
Full Job Description
ABOUT THE SENIOR DATA ENGINEER ROLE: WIN is looking to add Senior Data Engineer to our growing team! Ideal candidates are passionate about analyzing complex data sets, generating insights, and providing data-driven recommendations. You will be part of a multi-disciplinary team transforming the real estate industry with one of its kind disruptive services by harnessing the power of generative AI in most of our upcoming products. KEY RESPONSIBILITIES: Collaborate with cross-functional teams to define data requirements, perform data collection, and ensure data quality and integrity. Curate data sets including through hands on analyses and automated tools including web scraping, ETL pipelines and SQL queries. Conduct in-depth research and analysis to identify new data sources and complement existing data sources. Design and maintain intuitive BI dashboards, reports, and visualizations to effectively communicate complex data and insights. Identify actionable business insights through analysis of data trends, patterns, and correlations. Own documentation of data processes, schemas, and data sets Build using best practices in security, design, and data quality. REQUIRED QUALIFICATIONS: Bachelors in computer science or related technical field. 2-5 years of experience in data analysis (e. g. Python, SQL, Excel, Tableau, Looker, PowerBI) and visualization tools Experience with data querying, manipulation, and integration scripting a plus Experience with enterprise cloud computing and storage platforms (AWS, GCP etc) Thrive in a dynamic environment that requires innovation and speed of execution. Ability to understand and break-down problems and propose clear solutions. Creative and outside-the-box thinker with strategic mindset Willing to learn new technologies and platforms. Strong work ethic, high integrity, and a team-player WHAT WE OFFER: Highly inclusive and collaborative culture built on mutual respect. Focus on core values, initiative, leadership and adaptability. Stro
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