Staff Data Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Data Engineer: Design and build net new resilient batch and real-time data pipelines that power critical products and drive business growth with an accent on data reliability, performance, and scalable production-ready solutions. Focus on migrating disparate data models to new databases, optimizing data models for decision-making, and shaping long-term data engineering practices and best practices across the organization.
Location: Toronto, Ontario, Canada
Salary: $190,000 — $210,000 CAD
Company
Platform connecting chefs with customers for fresh meal delivery, expanding into an innovating marketplace to empower chefs globally.
What you will do
- Design and build resilient batch and real-time data pipelines powering critical products and business growth.
- Build pipelines for migrating from existing data models and sources to new production databases.
- Champion data reliability and performance with monitoring and quality engineering practices.
- Optimize data models for efficient decision-making in high-impact use cases.
- Partner with product, engineering, and data science teams to deliver scalable data solutions.
- Shape data engineering roadmap, define best practices, and coach teammates.
Requirements
- 7+ years in backend software engineering.
- Proficiency in Java, Scala, or Python; deep expertise in data processing and complex SQL.
- Track record driving complex projects in distributed teams, building for optimal UX.
- Experience designing, building, operating distributed data platforms (Snowflake, Spark, Flink, Kafka) with large datasets.
- Experience building, productionizing, and optimizing real-time and batch data pipelines.
Nice to have
- Experience designing data architectures for experimentation.
- Strong opinions on engineering best practices.
- Cloud-native technologies (Kubernetes, containers).
- Rapid growth or startup experience.
- Passion for food.
Culture & Benefits
- Health Insurance (Canada Life).
- Stock Options from Day 1.
- Flexible Paid Time Off, 5-year Sabbatical (4 weeks paid), Paid Family and Compassionate Leave.
- Monthly meal credits.
- AI tools (ChatGPT, Claude), wellness perks (fitness subsidies), personalized Spanish coach.
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