Principal Data Engineer – Databricks
Toronto, ONAstra North Infoteck Inc.
12+ YOECandidates need 12 to 18 years of data engineering experience, with deep Databricks, Spark, Delta Lake and PySpark skills. They also need legacy Cloudera migration experience, finance and risk data modelling, and cloud (AWS or Azure) and CI/CD experience.
Databricks, Apache Spark, PySpark, Delta Lake, Cloudera, Hive
Senior Data Engineer (AWS, Big Data, ETL, Netezza, Spark, Kafka, Data Warehousing)
Toronto, ONAstra North Infoteck Inc.
10+ YOECandidates need 10+ years in data engineering, big data or platform engineering, with mandatory Netezza experience and strong AWS skills. They also need SQL, shell scripting, Unix/Linux and hands-on ETL tool experience.
Netezza, AWS EMR, AWS S3, AWS EC2, AWS Redshift, AWS Glue
Data & AI Engineer – Snowflake, SQL, Python, Cloud, Generative AI
Montréal, QCAstra North Infoteck Inc.
Candidates need strong Snowflake and advanced SQL experience, solid Python skills, and hands-on work with a major cloud platform. Practical use of generative AI tools such as Claude or Microsoft Copilot, plus data warehousing and ETL knowledge, is required.
Snowflake, SQL, Python, Claude, Microsoft Copilot, AWS