Data Engineer - manage many projects and support data management, data governance, reporting, and business intelligence for our financial services client.
S.i. Systèmes
Toronto, ON-
Nombre de poste(s) à combler : 1
- Salaire À discuter
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Emploi Permanent
- Publié le 7 décembre 2025
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Date d'entrée en fonction : 1 poste à combler dès que possible
Description
Experience
Minimum of 3 years of professional experience in data engineering, with a strong focus on designing, developing, and optimizing scalable data pipelines, ETL/ELT workflows, and data integration solutions using modern cloud technologies.
Knowledge, Skills, and Abilities
Comprehensive understanding of data pipeline and modern data stack architectures, with hands-on experience in cloud-based platforms such as AWS, Azure, or GCP, and data platforms such as Snowflake, Databricks, or Redshift.
Technologies:
Data extraction: SQL, Python, API integration, Change Data Capture (CDC)
Database systems: PostgreSQL, MySQL, SQL Server
Data storage repositories: SFTP, AWS S3
Job scheduling and orchestration: Apache Airflow, AWS Step Functions
ETL/ELT tools and workflows: dbt, PySpark, AWS Glue, AWS Lambda, Slowly Changing Dimensions (SCD)
CI/CD and infrastructure automation: Bitbucket, Git, Jenkins, CloudFormation, Terraform, Flyway
Exigences
non déterminé
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non déterminé
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