Senior Data Engineer
ABOUT WIN:
Founded in 1993, WIN is a highly innovative PropTech company building new and disruptive software platforms and products for the massive real estate industry. We have the stability and brand recognition as a 30-year old company along with the curiosity and energy of a start-up. We are an Entrepreneur 500 company, Entrepreneur Fastest Growing company, and recognized as the Most Innovative Home Services Company.
OUR CULTURE:
Our colleagues are driven by curiosity and tinkering and a desire to make an impact. They enjoy a culture of high energy and collaboration where we listen to each other with empathy, experience personal and professional growth, and celebrate small victories and big accomplishments. Click here to learn more about our company and culture: https://www.linkedin.com/company/winhomeinspection/life
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.
- Strong emphasis on personal and professional development
- Flexibility to work remotely and/or hybrid indefinitely.
Originally posted on Himalayas
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