Data Engineering Lead Jobs
By Browns Shoes Inc. At Greater Montreal Metropolitan Area, Canada
+5 years of experience in data engineering or related fields, at least 1 year as a technical lead.
Experience with AWS technologies such as Lambda, API Gateway and Event Bridge is an asset.
Experience with data streaming technologies like Kafka is an asset.
Experience working with retail, ecommerce, marketing, and related data sets is an asset.
Leading development within our current data stack including Snowflake, DBT and AWS serverless architecture.
Mentor and provide technical guidance to data engineers, developers, and analysts.
Administrative Assistant, Engineering & Data
By Faire At Kitchener, Ontario, Canada
Provide high-level calendar management and administrative support to Leaders
Superior knowledge of and experience with G Suite and Microsoft Office
Manage team calendars, Slack, Google Drive, and other team tools and trackers
Plan and manage team off-sites and activities
Bachelor's degree and a minimum of 2 years of applicable experience
Excellent verbal and written communication skills
Data Engineer - Financial Engineering
By Spotify At Toronto, Ontario, Canada
Comfortable communicating with stakeholders (customers, product managers, C-level management.
4+ years of professional software engineering and programming experience (Java, C++, Scala).
Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization).
Professional experience working in an agile environment.
Strong written and verbal communication skills.
Experience in operating and maintaining production grade software
Developer, Cloud Engineering Jobs
By Bell At Ottawa, Ontario, Canada

https://jobs.bce.ca/job-invite/410724/

Software Developer, Data Engineering
By Wealthsimple At Toronto, Ontario, Canada
3-5 years of experience with one or more coding languages such as Python (is a must), Java, Kotlin, Ruby
Experience working with data at scale using distributed platforms such as Airflow, Redshift, Flink, Kafka, Spark, or similar
Experience with data modelling and ETL design, implementation and maintenance
Experience with different database platforms such as Oracle and Postgresql
Experience with SQL performance tuning and optimization
Experience with design and implementation of high-performance systems with reliable monitoring and logging