Senior Data Engineer building trusted Snowflake data products for Granum’s landscaper and arborist software ecosystem. Operating governed pipelines that power analytics, AI, and operational decisions.
About the role
- AWS Data Engineer needed for 12+ month contract in Toronto. Lead design of cloud-native data pipelines, mentor engineers, and drive data quality and cost optimization.
Responsibilities
- Lead the design of cloud-native batch and streaming data pipelines on AWS. Set engineering standards, conduct architectural reviews, and mentor mid-level data engineers. Drive data quality, monitoring, observability, and cloud cost optimization. Evaluate and integrate emerging AWS capabilities through proof-of-concept initiatives.
Requirements
- 10+ Years in Data/Software Engineering (4–5+ years focused on AWS). AWS Core: Amazon S3, Glue, Redshift, EMR, Lambda, Step Functions, Kinesis, MSK. Code & Pipeline: Strong Python, Scala, or Java; deep experience with ETL/ELT and Airflow. IaC & DevOps: Hands-on with Terraform, AWS CDK, or CloudFormation + CI/CD. Bonus: AWS Certifications (Solutions Architect / Data Analytics) & real-time streaming expertise.
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