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Junior Data Engineer - New Grad

Summary

Build and maintain Azure-based data pipelines and ETL workflows using Data Factory, Databricks, and Synapse for a hybrid on-site role in Markham.

We're looking for a motivated recent graduate to join our client's team on an initial 6-month contract as a Junior Data Engineer. Working in a hybrid model (4 days per week in office) out of Markham, ON, you'll be embedded with an experienced data engineering team, building and supporting data pipelines and solutions within a Microsoft Azure cloud environment. Strong performance may lead to contract extension or a full-time opportunity.

What You'll D

  • oDesign, develop, and maintain data pipelines and ETL/ELT workflows using Azure-native tools such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytic
  • sSupport the ingestion, transformation, and storage of structured and unstructured data across Azure Data Lake and other cloud storage solution
  • sWrite and optimize SQL queries to support data validation, reporting, and analytics use case
  • sCollaborate with data analysts, data architects, and business stakeholders to understand data requirements and translate them into scalable solution
  • sMonitor and troubleshoot pipeline failures, data quality issues, and performance bottleneck
  • sContribute to data documentation, data dictionaries, and lineage tracking to support governance standard
  • sParticipate in code reviews and contribute to best practices around data engineering and cloud infrastructur

What We're Looking F

  • orRecent graduate — Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related fie
  • ldAcademic, internship, or co-op experience working with data engineering concepts — ETL pipelines, data warehousing, or cloud data platfor
  • arStrong SQL skills — comfortable writing complex queries, joins, aggregations, and transformatio
  • nsFamiliarity with Python for data processing and scripti
  • ngAble to commute to Markham, ON for hybrid work arrangemen

ts
Nice to H

  • aveExperience with Apache Spark or PySpark for large-scale data process
  • ingExposure to Azure DevOps or CI/CD pipelines for data workfl
  • owsKnowledge of data modelling concepts — star schema, data vault, or dimensional modell
  • ingFamiliarity with Power BI or other visualization to
  • olsMicrosoft Azure certifications (e.g. Azure Data Engineer Associate DP-203) or currently pursu

See also