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CAN ASA-Jones Lang LaSalle Real Estate Services, Inc.
5+ YOECandidates need 5 to 8 years of data engineering experience, expert Python skills, and deep Azure data services knowledge including Databricks, Azure Functions and Event Hubs. A relevant bachelor's degree and proven experience building AI-powered automation at enterprise scale are also required.
10+ YOECandidates need 10+ years of data analysis and large OLTP performance experience, plus wealth industry knowledge of IIROC-CRM and CRA guidelines. Strong communication, analytical skills and hands-on experience with Google Cloud databases, Hadoop and streaming tools are required.
Google Cloud Platform, Spanner, PostgreSQL, Hadoop, Hive, Pig
8+ YOECandidates need 8+ years of experience, including 3+ years in retail media, AdTech or MarTech. Strong skills in cloud data engineering, Salesforce marketing technologies, Snowflake or Databricks, identity resolution and attribution analytics are required.
7+ YOECandidates need an undergraduate degree in software engineering or computer science, about seven years of data engineering and data architecture experience, and Python or R skills. They must be eligible for Canadian controlled-goods access and an enhanced reliability clearance.
AGF Investments Inc.: AGF Investments entities only provide investment advisory services or offers investment funds in the jurisdiction where such firm and/or product is…
6+ YOECandidates need 6+ years of hands-on Salesforce experience, especially Sales Cloud and Service Cloud, plus strong data architecture and ETL skills. Experience with Data360 or another customer data platform is preferred but not required.
AGF Investments Inc.: AGF Investments entities only provide investment advisory services or offers investment funds in the jurisdiction where such firm and/or product is…
6+ YOECandidates need 6+ years of hands-on Salesforce experience, especially Sales Cloud and Service Cloud, plus strong data architecture and ETL skills. Experience with Data360 or another customer data platform is preferred but not required.
AGF Investments Inc.: AGF Investments entities only provide investment advisory services or offers investment funds in the jurisdiction where such firm and/or product is…
6+ YOECandidates need 6+ years of hands-on Salesforce experience, especially Sales Cloud and Service Cloud, plus strong data architecture and ETL skills. Experience with Data360 or another customer data platform is preferred but not required.
10+ YOECandidates need a mechanical engineering degree, a P.Eng registration in Canada, and 10+ years of mechanical design experience for data centers or similar complex facilities. Strong knowledge of cooling plants, redundancy strategies and relevant codes is essential.
10+ YOECandidates need a Bachelor's or Master's in Electrical Engineering, P.Eng registration in Canada, and 10+ years of electrical engineering experience in data centers or similar complex facilities. Working knowledge of NEC, IEEE and NFPA 70E standards, plus leadership and travel readiness, is required.
Electrical engineering, Regulatory compliance, Leadership, Problem solving, Process improvement, Documentation
Candidates need strong data engineering experience, graph database and big data skills (Databricks, Spark, AWS, Hive, Airflow) and a proven record of leading engineering teams. Solid computer science fundamentals and clear communication with technical and business audiences are also needed.
Candidates need advanced Python and SQL, plus Scala or Java, and hands-on Databricks, Apache Spark, and Delta Lake experience. They also need deep cloud platform expertise in AWS, Azure, or GCP, Terraform and CI/CD skills, and knowledge of IAM, encryption, and responsible AI.
Databricks, Apache Spark, Delta Lake, MLflow, PyTorch, TensorFlow
Candidates need strong experience building data pipelines with tools like Spark, Airflow or dbt, plus proficiency in SQL and Python, Java or Scala. Hands-on cloud data experience on AWS, Azure or GCP, knowledge of warehousing and lakehouse architectures, and CI/CD and governance practices are also expected.
10+ YOEAutodesk needs candidates with 10+ years of data engineering or distributed systems experience, strong Python, Spark and advanced SQL skills, and hands-on AWS and streaming experience. Experience with LLM ecosystems, vector databases and RAG is also required.
Cascade Debt: Cascade’s platform provides independently verified data that increases trust, transparency, and collaboration for all counterparties.
3+ YOECandidates need 3+ years of data engineering experience with credit or lending data, strong SQL, and experience with relational and NoSQL databases, ETL tools and cloud data warehouses. CI/CD automation, API development and fintech experience are assets.
Candidates need current enrolment in Computer Science, Software Engineering, Data Engineering, Data Science or a related program. Experience with or strong interest in Python and SQL, and an understanding of databases and data pipelines, are expected.
Candidates need a bachelor's or master's degree in an engineering or computer science field, plus strong experience in SoC or system validation, silicon bring-up and data center debug. Python and C/C++ skills, and familiarity with Linux and register-level debug, are preferred.
AMD needs an engineer with a Bachelor's or Master's in Computer or Electrical Engineering, extensive SoC, board and server platform knowledge, and proven validation strategy and debug experience. Scripting skills in Python, C/C++ or Perl and working knowledge of Linux and Windows servers are required.
Candidates need a degree in electrical, computer or mechatronics engineering, plus hands-on SoC, system or rack-level validation and debug experience. Python and C/C++ skills, Linux familiarity and independent problem-solving are needed.
Candidates need experience in system, platform, firmware, server, GPU or SoC validation, plus knowledge of PLDM, Redfish and firmware security testing. Scripting skills, Linux and Windows experience, and a bachelor's or master's degree in electrical or computer engineering (or equivalent) are required.
4+ YOECandidates need four or more years building geospatial software, or three with strong shipped systems. They need solid knowledge of GIS tools, coordinate systems, Python scientific libraries and spatial databases, plus cloud and Docker experience.
Ledgebrook: Ledgebrook is a fully-remote US based company backed by top venture investors including Brand Foundry & American Family Ventures.
10+ YOECandidates need 10+ years in data or analytics engineering, expert Python and SQL, and production experience with Airflow, dbt, Terraform and Snowflake. They should own platform architecture end to end and build data quality and governance frameworks at scale.
10+ YOE5+ MgmtCandidates need 10+ years in data platform, distributed systems or infrastructure engineering, and 5+ years of people management. They also need experience building data and ML platforms, customer-facing analytics, and modern data stack tools such as dbt, Airflow, Snowflake and Kafka.