Google Cloud Data Engineer implementing data ingestion and analytics frameworks at Fueled. Specializing in Google Cloud Platform and modern data modeling.
About the role
- IAM/Data Engineer role in Toronto (Hybrid). Requires 4+ years in ETL, data pipelines, cloud platforms, and skills in Windows IAM, Ansible, Terraform, SQL, Python/Java, Spark/Kafka.
Responsibilities
- IAM/Data Engineer responsible for ETL processes, data pipelines, and large-scale applications. Works with cloud platforms (Azure/GCP), APIs, CI/CD tools (Jenkins, Git), and Agile methodologies. Additional technologies include Airflow/Data Factory, Docker, Kubernetes, with Capital Markets experience as a plus.
Requirements
- 4+ years experience in ETL, data pipelines, and large-scale applications. Skills required: Windows IAM, Ansible, Terraform, PowerShell/CLI, SQL, Python/Java, ETL, Spark/Kafka, Databricks/Snowflake, Cloud (Azure/GCP), APIs, CI/CD (Jenkins, Git), Airflow/Data Factory. Experience with Agile environment. Nice to have: Docker, Kubernetes, Capital Markets.
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