- Experience in an analytics focused role - analytics engineer, data engineer or data scientist with a strong engineering background
- Knowledge and familiarity of dimension modeling or data warehousing concepts such as Kimball, Inmon or Data Vault
- Expertise in building and maintaining data pipelines in dbt, semantic layers and self-service technologies in Looker, and familiarity with tools across the data stack: Snowflake, Airflow, Fivetran, Jupyter, etc
- Expert programming and data manipulation skills with SQL and Python as well as knowledge of Git and CI/CD best practices
- Experience developing, deploying and improving sustainable analytical models, give strong technical recommendations and maintain a curious mindset
- Excellent communicator with the ability to translate complex topics to non-technical stakeholders
- Creative problem solver able to tackle ambiguous problems with little guidance
- Building: Scalable, reliable and accurate data pipelines to support self-serve analytics, data products and the automation of downstream data processes.
- Designing: Robust, efficient and performant data architecture & models to support reporting and analytics needs. Working with stakeholders across the business to understand evolving requirements.
- Enhancing our processes, tools, and technology: Improve on our existing data capabilities, collaborating with partners across data services to increase our operational efficiency and reduce our time to insight.
- Collaboration : Collaborate with other engineers, analysts, and stakeholders across the business, enabling them to build data products independently via pairing, setting best practices and data governance.
- Continuous improvement: Keep abreast of state-of-the-art tools and technology, translating the latest industry trends into practical applications for the business.
- Strive for Excellence - We know your potential is unlimited. Take advantage of our executive coaches and our training and career development programs available to all employees
- Be Customer Obsessed - We're employee obsessed too VTS offers competitive compensation, comprehensive health benefits (including dental and vision), pre-tax commuter benefits, and a 401(k) plan. Not to mention the fun stuff - monthly happy hours, wellness events, clubs, and team lunches
- Be Curious - Benefit from a culture that promotes new learning. VTS offers an education stipend to all employees
- Move as One - We work in an open floor plan to promote cross-functional collaboration.
- Take Ownership - Be an owner of the company you're building with our equity packages.
- Appreciate the Difference - VTS embraces and celebrates diversity. We understand the importance of a strong work-life balance. We offer a flexible PTO policy, generous family leave program, and more
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Senior Software Engineer, Data Analytics - Toronto, Canada - VTS
Description
Senior Software Engineer, Data Analytics
at VTS Toronto, Ontario, CanadaWe are seeking a highly skilled and motivated engineer to join the Data Science & Analytics Engineering (DSAE) team within the Platform organization. The DSAE team owns all data transformation and modeling across the company, enabling downstream reporting, data APIs and advanced analytics. You will join a centralized data organization, consisting of data engineers, machine learning engineers, scientists and analysts. The models we build enable our users to get an unparalleled view of the $15 trillion dollar CRE industry, the opportunity for business wide impact is limitless
Please note: This role will be hybrid in-office in our Toronto office 2-3 days a week.
To thrive in this role you have:
What you can expect:
What VTS Values & How We Show It
About VTS:
is the commercial real estate industry's only technology company that unifies owners, operators, brokers, and tenants in a single platform to capitalize on opportunities revealed in every square foot of their properties. In 2013, VTS revolutionized the commercial real estate industry's leasing operations with what is now VTS Lease. Today, the is the largest first-party data source in the industry, transforming how strategic decisions are made and executed by CRE professionals across the globe.
VTS maintains offices in New York City, London, Toronto, Chicago, and San Francisco.
DE&I Commitment
VTS embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
VTS will provide any necessary accommodation during the recruitment and selection process to an employee or applicant with a disability.