Senior Data Engineer

1 week ago

Toronto Montreal Calgary Vancouver Edmonton Old Toronto Ottawa Mississauga Quebec Winnipeg Halifax Saskatoon Burnaby Hamilton Surrey Victoria London Halton Hills Regina Markham Brampton Vaughan Kelowna Laval Southwestern Ontario R, Canada Avanciers Inc. Full time

Avanciers is seeking a highly skilled Advanced Data Engineer to join our team for an exciting Fulltime role with one of our esteemed Fortune 500 clients, based in Canada. This is a REMOTE role. Position: Advanced Data Engineer Location: Canada (Remote) Job Description Mandatory Skills Programming Expertise: Strong proficiency in Python, PyTest, and PySpark with a solid understanding of software engineering best practices. OOP Concepts: Deep knowledge and hands-on experience with object-oriented programming principles. Cloud Computing (Azure): Skilled in working with Azure-based data platforms, including Databricks and Delta Live Tables, with effective use of Azure services related to storage, compute, and security. Data Pipelines: Ability to design, develop, and maintain scalable, automated data pipelines for both batch and streaming data ingestion and processing, leveraging Databricks Workflows. Data Architecture & Modeling: Proven experience in designing and implementing robust data models and architectures to support efficient processing, analytics, and reporting needs. Orchestration: Hands-on experience with workflow orchestration tools to automate pipeline execution and manage dependencies. Monitoring & Alerting: Implement monitoring and alerting frameworks to ensure pipeline reliability, identify performance bottlenecks, and proactively resolve issues. Agile Methodologies: Strong understanding and application of Agile practices, actively contributing to sprint planning, daily stand‑ups, reviews, and retrospectives, with flexibility to adapt to evolving project requirements. Unity Catalog: Working knowledge and practical experience with Unity Catalog for data governance and access management. Good-to-Have Skills GitHub Actions: Experience in implementing CI/CD workflows using GitHub Actions. Datadog: Exposure to Datadog for monitoring, logging, and observability. Data Quality: Ability to implement data quality frameworks including profiling, validation, and root‑cause analysis to ensure data consistency and accuracy. CI/CD Practices: Familiarity with continuous integration and delivery pipelines for automated testing and deployment of data workflows. Seniority Level Mid-Senior level Employment Type Full-time Job Function Information Technology Industries Retail #J-18808-Ljbffr

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