18 Oct
Yelp
Toronto
JOB DESCRIPTION
Summary
Yelp engineering culture is driven by our core values: cooperation, authenticity, and creativity. We’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment.
Our mission is to connect people with great local businesses, and our analytics engineers play a pivotal role in transforming raw data into actionable insights that drive our business forward. In this role,
you'll design and build robust data pipelines to manage large volumes of data, ensuring seamless integration into our data warehouse. You will also develop and maintain our data models, data warehouse, and semantic layer to support analytics and lead data-driven solutions. Ensuring data integrity will be key, as you implement quality checks and processes across the organization. Additionally, you'll continuously integrate cutting-edge technologies to enhance our data processing and wrangling capabilities.
You will collaborate closely with teams such as finance, marketing, people, business operations, and product to shape the data and analytics roadmap and develop scalable solutions. If you have a knack for ownership, a curiosity to understand and solve complex problems, and a passion for deriving insights from complex datasets, we're looking for you!
What you'll do:
1. Collaborate with business and engineering teams, product managers, and analysts to understand the organization's data needs.
2.
Develop and maintain the content and structure within data storage solutions including data lakes and data warehouses, ensuring data is accurately organized, enriched, and ready for analysis.
3. Architect and implement scalable and flexible data models as well as data processes.
4. Design, build and launch efficient & reliable data pipelines to move and transform data.
5. Build analytical solutions and data products that leverage data for decision-making and analytics.
6. Mentor other engineers and share your skills and knowledge.
7. Support on-call shift as needed to support the team.
What it takes to succeed:
1. Expertise in architecting and implementing efficient data models and data warehousing solutions.
2.
A strong understanding of data lifecycle development and ability to iteratively improve the data processes and maturity.
3. High proficiency in scripting with SQL and Python, extracting large sets of data, and designing ETL flows.
4. Hands-on experience with orchestration tools like Airflow or similar.
5. A deep understanding of the systems you've worked on.
6. Experience with more than one coding language.
7. Experience in the following technologies: dbt, Python, AWS Redshift, AWS Athena, AWS S3, data observability, data cataloging, and data integration tools.
What you'll get:
Compensation range is $97,000-230,000 annually. Depending on your role and level, you may also be offered a bonus, restricted stock units, and benefits. This opportunity has the option to be fully remote in all locations across Canada. You can find more information about Yelp's five star benefits!
Closing
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”
We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
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▶️ Senior Analytics Engineer - Data Engineering (Remote - Canada)
🖊️ Yelp
📍 Toronto