Data Architect Data Analytics
1 month ago
We are seeking a skilled Data Engineer with deep experience in data integration platforms and cloud technologies. The ideal candidate will be responsible for building, managing, and optimizing data pipelines, ensuring smooth data integration across systems, and providing high-quality data transformations.
Key Responsibilities:- Design and Develop Data Pipelines: Build and manage scalable and cost-efficient data pipelines to integrate data from various internal and external sources into the cloud data warehouse (Snowflake) 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.
- Actively monitor, troubleshoot, and resolve data pipeline issues in real-time to minimize disruptions.
- Create and maintain comprehensive documentation for all data integration and pipeline processes.
- 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.
- Proficiency in Snowflake for cloud-based data warehousing.
- Strong expertise in using dbt for data transformation and modeling.
- Proficiency in SQL for querying and transforming data.
- Familiarity with REST APIs, JSON, XML, and other data exchange formats.
- Experience working with version control systems (e.g., Git).
- Competitive benefits, pay, and retirement plan options.
- Career growth, stability, and flexible work arrangements.
- We utilize renewable energy and a closed loop recycled water process.
- We are committed to reducing greenhouse emissions and water consumption.
- We are the only flooring company recognized by the Asthma and Allergy foundation.
- With a history of 140 years, Tarkett is a worldwide leader in innovative flooring and sport surface solutions with 12,000 employees and 34 industrial sites.
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Data Architect Data Analytics
4 weeks ago
Montreal, Quebec, Canada Tarkett Full timeJob Title: Data Architect Data AnalyticsWe are seeking a skilled Data Engineer with deep experience in data integration platforms and cloud technologies to join our team at Tarkett.Key Responsibilities:Design and develop scalable and cost-efficient data pipelines to integrate data from various internal and external sources into the cloud data warehouse...
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Data Architect Data Analytics
4 weeks ago
Montreal, Quebec, Canada Tarkett Full timeJob Title: Data Architect Data AnalyticsWe are seeking a skilled Data Engineer with deep experience in data integration platforms and cloud technologies to join our team at Tarkett.Key Responsibilities:Design and develop scalable and cost-efficient data pipelines to integrate data from various internal and external sources into the cloud data warehouse...
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Data Architect Data Analytics
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Montreal, Quebec, Canada Tarkett Full timeJob Title: Data Architect Data AnalyticsWe are seeking a skilled Data Engineer with deep experience in data integration platforms and cloud technologies.Key Responsibilities:Design and Develop Data Pipelines: Build and manage scalable and cost-efficient data pipelines to integrate data from various internal and external sources into the cloud data warehouse...
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Data Architect Data Analytics
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Montreal, Quebec, Canada Tarkett Full timeJob Title: Data Architect Data AnalyticsWe are seeking a skilled Data Engineer with deep experience in data integration platforms and cloud technologies. The ideal candidate will be responsible for building, managing, and optimizing data pipelines, ensuring smooth data integration across systems, and providing high-quality data transformations.Key...
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