Senior Data Engineer

4 weeks ago

Markham, Canada Xplore Inc. Full time

As a Senior Data Engineer, you will play a key role in designing, building, and optimizing Xplore’s enterprise data lakehouse platform. You’ll lead delivery of ingestion pipelines, implement data governance and observability, and act as a subject matter expert across data engineering best practices. You will mentor intermediate and junior engineers, contribute to platform standards, and partner with analytics and AI teams to deliver high-quality, trusted datasets. Key responsibilities include: Architect and implement data pipelines (batch & streaming) from on-prem and cloud systems (e.g., SQL Server, Oracle, Salesforce APIs, telemetry). Model and optimize data flows across medallion lakehouse layers (bronze/silver/gold). Implement and enforce governance, lineage, cataloging, and data quality frameworks. Optimize ELT processes and distributed compute performance (e.g., Spark, Databricks). Contribute to CI/CD, infrastructure-as-code, observability, and cost governance practices. Mentor engineers, conduct code reviews, and drive knowledge-sharing. Partner with data science, BI, and AI teams to provision clean and well-documented data products. Translate business requirements into scalable data engineering solutions. The ideal candidate will possess: 5–7 years of experience in data engineering. Proficiency in Python and SQL, and performance tuning at scale. Extensive experience with modern platforms (e.g., Databricks, Azure, cloud storage). Strong expertise with lakehouse/data warehouse, distributed compute, and streaming frameworks with ingestion from APIs, Salesforce, and on-prem databases. Experience with governance and metadata management tools. Familiarity with Canadian privacy and compliance frameworks (PIPEDA/CPPA, Law 25). Knowledge of CI/CD, infrastructure-as-code, and data observability solutions. Strong communication skills and demonstrated mentorship experience. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Market Research #J-18808-Ljbffr

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