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 to 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.