Capgemini Hiring a Data Engineer for a complete-time, permanent function in Toronto, ON. The function includes designing, developing, and dealing with records pipelines, making sure green records glide, and integrating across numerous systems. You will collaborate with pass-purposeful groups to optimize statistics processes and implement scalable answers. Candidates ought to have experience in cloud platforms, databases, ETL tools, and records structure. A diploma in any graduate or postgraduate field is needed. Strong hassle-fixing abilties and the capability to work in agile environments are vital.
- Role: Data Engineer
- Location: Toronto, ON
- Company: Capgemini
- Salary: Not Disclosed
- Qualifications: Any Graduate or Postgraduate
- Employment Type: Full Time, Permanent
Job Overview:
The Data Engineer role at Capgemini is full-time and positioned in Toronto, ON. As a part of the process, you may be answerable for designing, growing, and preserving statistics pipelines using superior gear like Azure Databricks and Spark (Python). You’ll paint with Databricks Notebooks and VS Code to manipulate and optimize facts solutions, leveraging the Delta Live Tables (DLT) framework and established streaming for real-time information processing. The function emphasizes building resilient, green statistics pipelines, even as constantly optimizing performance and price.
Key Responsibilities:
- Design and Develop Data Pipelines: Utilize Azure Databricks and Spark to create and preserve scalable facts pipelines.
- Implement Delta Live Tables (DLT) and Real-Time Processing: Manage dependent streaming to manner actual-time information, ensuring accuracy and timeliness.
- Optimization: Actively interact in performance and value optimization, ensuring assets are used efficaciously.
- Automation: Identify manual, redundant procedures and put in force automation to enhance operational efficiency.
- CI/CD with Azure DevOps: Implement and control Continuous Integration/Continuous Deployment (CI/CD) tactics in the usage of Azure DevOps, ensuring smooth deployment.
- Unit Testing Frameworks: Develop and keep unit trying out frameworks to make certain statistics excellent and answer reliability.
- Azure Technologies Expertise: Work with gear like Azure Data Factory (ADF), Cosmos DB, Azure Synapse, and Azure Data Lake Storage to construct sturdy data answers.
Required Skills:
- A Bachelor’s degree in Computer Science, Engineering, or an associated area. Advanced tiers or certifications are a plus.
- Significant revel in with Azure DevOps, Spark (Python), and Databricks Notebooks.
- Strong understanding of the Delta Live Tables (DLT) framework and structured streaming.
- A proven song document in developing resilient records solutions for operational structures.
- Hands-on enjoy with Azure Data Factory, Azure Data Lake Storage, and SQL.
- Knowledge of unit trying out frameworks and deep expertise in CI/CD pipelines.
Benefits and Work Environment:
- Flexible painting options that permit place and time-based flexibility.
- Childcare help, which includes backup childcare, sponsored tutoring, and family care days.
- Tuition compensation and continuous learning possibilities through weekly talent development applications.
- Health, welfare, and retirement blessings, at the side of paid time off.
- Company-provided domestic workplace devices and admission to digital collaboration tools.
- Access to Capgemini Employee Resource Groups and intellectual fitness resources.
Why Capgemini?
Capgemini is devoted to assisting variety and inclusion. The employer welcomes personnel from all backgrounds and is an Equal Opportunity Employer. It offers surroundings where creative, pushed colleagues paintings collectively to remedy hard problems. The enterprise’s international reach and market-main abilities make it a brilliant area to advance your profession. Capgemini also emphasizes existence stability via bendy painting preparations and help for families.
About Capgemini:
Capgemini is a frontrunner in virtual and commercial enterprise transformation. With sales of €22. Five billion in 2023, the organization allows companies to address their whole scope of technological desires. Whether it’s AI, cloud, information, or design, Capgemini’s goal is to create a tangible impact for both organizations and society.
In precis, Capgemini’s Data Engineer function in Toronto is ideal for the ones enthusiastic about statistics answers, automation, and Azure technology. With a supportive painting environment, possibilities for boom, and a dedication to innovation, that is a thrilling possibility for records experts.
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