19 Oct
Adevinta 2021
Toronto
As a staff engineer in the data team you will build and run production-grade data and machine learning pipelines and products at scale in an agile setup. Reporting to our Head of Engineering for Search and Data, you will work with our data engineers, architects, and product managers to create the technology that generates and transforms data into applications, insights and experiences for our users. This is a hybrid role that will require you to come to our office in downtown Toronto 1-2 times per week.
What you'll do:
- Design, productise and own end-to-end solutions that solve our customer's problems
- Define, plan and execute on large-scale strategic projects
- Communicate and align with peers and cross functional stakeholders
- Pick the right balance between quality and speed of delivery
- Steer the target architecture by identifying areas of critical need based on future growth
- Be the go-to expert inside the team and influencer inside the team in several technologies and technical areas
- Participate in department-wide cross-functional tech initiatives
- Mentor less experienced engineers for success
Who you are:
- 10+ years of relevant industry experience with 3+ years of data and machine learning related work or research is a must for this position
- Expertise in Java/Scala and Python programming languages.
- Experience designing and productionizing large-scale distributed systems built around machine-learned models and big data
- Experience with batch and streaming technologies: e.g Apache Flink, Apache Spark, Apache Beam, Google DataFlow
- Expertise with distributed data stores (Cassandra, Google BigTable, Redis, ClickHouse,
Elasticsearch) and messaging systems (Kafka, Google PubSub) at scale
- You have experience with Linux, Docker, and public cloud (GCP, AWS, Azure)
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▶️ Software Engineer, Data Products
🖊️ Adevinta 2021
📍 Toronto