Data Engineer/ Ingénieur de données
| Company | Procter & Gamble (P&G) |
|---|---|
| Location | Toronto, ON, Canada, North York, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Entry Level/New Grad, Junior |
Requirements
- A minimum of a bachelor’s degree from an accredited university, any major
- You can conduct business in English (written & verbal). French is an asset.
- You have 0-3 years of experience after graduation from a post-secondary institution
- You can start the role April 2025 from Toronto (domestic relocation benefits may apply)
- Strong leadership skills
- Demonstrated ability of critical thinking and problem solving
- Strong written and verbal communication skills
- Expertise in Azure Cloud and Big Data technologies to design, develop, and maintain scalable data pipelines and architectures.
Responsibilities
- Designs, develops and implements data and analytics cloud-based analytics platforms (DAP) and pipelines which acquire, cleanse, transform and publish data.
- Assemble large, complex data sets which meets functional and non-functional business requirements.
- Partners with data asset managers and architects to ensure technical solution provides data which is fit for use and in line with architecture blueprints.
- Leverages coding standards and best practices to ensure efficient and re-usable services and components.
- Design, build, and maintain ETL/ELT processes to ingest, process, and integrate data from various sources into Azure data services.
- Utilize Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to orchestrate data workflows.
- Implement big data solutions using Azure Data Lake Storage, Azure HDInsight, and other big data technologies.
- Optimize data storage and retrieval techniques to ensure high performance and scalability.
- Develop and maintain data models, schemas, and metadata to support analytical and reporting needs.
- Collaborate with data architects and analysts to understand data requirements and implement solutions accordingly.
- Establish data quality metrics and monitoring frameworks to ensure data accuracy and integrity.
- Implement data governance practices to manage data access, security, and compliance.
- Work closely with cross-functional teams including data scientists, analysts, and business stakeholders to understand data needs and deliver actionable insights.
- Document data engineering processes, architecture designs, and best practices.
- Monitor and optimize data processing workflows for performance and cost-efficiency.
- Troubleshoot and resolve data-related issues in a timely manner.
- Stay updated on emerging technologies and trends in data engineering, big data, and cloud computing.
- Evaluate and recommend new tools and technologies that align with business needs.
Preferred Qualifications
- Exposure to Front end BI Development
- Experience with tools like Power BI, Java Script for BI/Web app Development