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Senior Data Engineer
WIN Home Inspection. Collaborate with cross-functional teams to define data requirements, perform data collection, and ensure data quality and integrity .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, including data collection, quality assurance, and visualization. Proficient in utilizing tools such as SQL, Python, and BI platforms to derive actionable insights and maintain data integrity.
Highest-signal resume keywords
Data AnalysisSQLPythonBI Dashboard DesignData Quality Assurance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data CollectionData ManipulationETL PipelinesWeb ScrapingData QueryingData Integration ScriptingData VisualizationData Trends AnalysisDocumentation of Data ProcessesProblem-Solving
Soft Skills
CollaborationClear CommunicationWillingness to Learn
Tools & Technologies
ExcelTableauLookerPowerBIAWSGCP
Industry Keywords
Data QualityData IntegrityCross-Functional TeamsBusiness InsightsCloud Computing
Tech Stack
Tools & technologiesAWSCloudETLGoogle Cloud PlatformPythonSQLTableau
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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