Junior Data Engineer - New Grad

Junior Data Engineer — Contract (6 Months) 📍 Markham, ON | Hybrid | New Grad Welcome 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 Do • Design, develop, and maintain data pipelines and ETL/ELT workflows using Azure-native tools such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics • Support the ingestion, transformation, and storage of structured and unstructured data across Azure Data Lake and other cloud storage solutions • Write and optimize SQL queries to support data validation, reporting, and analytics use cases • Collaborate with data analysts, data architects, and business stakeholders to understand data requirements and translate them into scalable solutions • Monitor and troubleshoot pipeline failures, data quality issues, and performance bottlenecks • Contribute to data documentation, data dictionaries, and lineage tracking to support governance standards • Participate in code reviews and contribute to best practices around data engineering and cloud infrastructure What We're Looking For • Recent graduate — Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field • Academic, internship, or co-op experience working with data engineering concepts — ETL pipelines, data warehousing, or cloud data platforms • Hands-on exposure to Microsoft Azure services — Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake, or similar • Strong SQL skills — comfortable writing complex queries, joins, aggregations, and transformations • Familiarity with Python for data processing and scripting • Able to commute to Markham, ON for hybrid work arrangements Nice to Have • Experience with Apache Spark or PySpark for large-scale data processing • Exposure to Azure DevOps or CI/CD pipelines for data workflows • Knowledge of data modelling concepts — star schema, data vault, or dimensional modelling • Familiarity with Power BI or other visualization tools • Microsoft Azure certifications (e.g. Azure Data Engineer Associate DP-203) or currently pursuing

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