Data Engineer

1 month ago

Montreal, Quebec, Canada Tarkett Full time
Job Title: Data Engineer

We are seeking a skilled Data Engineer to join our team at Tarkett. The ideal candidate will be responsible for designing, developing, and maintaining scalable and efficient data pipelines to integrate data from various internal and external sources into our cloud data warehouse.

Key Responsibilities:
  • Design and Develop Data Pipelines: Build and manage data pipelines to integrate data from various sources into our cloud data warehouse using Boomi, IICS, and dbt.
  • Data Integration: Leverage Boomi and Informatica to design and maintain integrations between cloud and on-premise systems, ensuring data quality and integrity.
  • Data Transformation: Implement data transformations using dbt and other ETL processes to prepare data for analysis, reporting, and machine learning purposes.
  • Optimize Data Workflows: Collaborate with Data Analysts, Data Scientists, and business stakeholders to optimize data workflows and improve overall efficiency in data handling.
  • Data Governance & Quality: Ensure high standards of data quality, governance, and security throughout the lifecycle of data.
  • Troubleshooting and Maintenance: Actively monitor, troubleshoot, and resolve data pipeline issues in real-time to minimize disruptions.
  • Documentation: Create and maintain comprehensive documentation for all data integration and pipeline processes.
Required Qualifications:
  • 4+ years of experience as a Data Engineer, with a focus on cloud data integration and pipeline development.
  • Strong experience in Boomi (or Informatica IICS), with hands-on experience building integrations and workflows.
  • Hands on Experience working with APIs.
  • Proficiency in Snowflake for cloud-based data warehousing.
  • Strong expertise in using dbt for data transformation and modeling.
Preferred Qualifications and Knowledge:
  • Familiarity with other cloud platforms such as Azure or AWS.
  • Experience with CI/CD pipelines for deploying and managing data workflows.
  • Knowledge of data governance frameworks and best practices.
  • Proficiency with Task management software like Jira is a plus.
  • Knowledge of Data Architectures and best practices for building out data pipelines.

Language: English

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