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Junior Data Engineer - New Grad
- Markham, ON, Canada
Contract
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Job details
- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
Junior Data Engineer - Contract (6 Months)
📍 Markham, ON | Hybrid (4 Days/Week in Office) | 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 arrangement
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
More about this job
Responsibilities
Design, develop, and maintain data pipelines and ETL/ELT workflows using Azure-native tools. Collaborate with stakeholders to translate data requirements into scalable solutions while monitoring pipeline performance and data quality.
Requirements
Requires a Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. Candidates must have hands-on experience with Microsoft Azure services and strong SQL skills.
Skills
- Azure Data Factory
- Azure Databricks
- Azure Synapse Analytics
- SQL
- Python
- ETL
- ELT
- Data Pipelines
- Azure Data Lake
- Data Modeling
- Apache Spark
- PySpark
- Azure DevOps
- CI/CD
- Power BI
- Data Governance
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
- Consulting
Keywords
- Data Engineering
- Azure
- Cloud Computing
- ETL
- ELT
- SQL
- Python
- Azure Data Factory
- Azure Databricks
- Azure Synapse Analytics
- Data Lake
- Data Pipelines
- Data Modeling
- Apache Spark
- PySpark
- Azure DevOps
- CI/CD
- Power BI
- Data Governance
- Data Lineage
- Star Schema
- Data Vault
- Dimensional Modelling
- Computer Science
- Software Engineering
- Data Science
- Cloud Infrastructure
- Data Quality
- Reporting
- Analytics