CLDRSRC10415 - Junior Data Engineer/Report Developer - Toronto - Onsite

Indotronix UK; Toronto; Presencial; CAD 90 000 - 120 000; Tempo integral

Resumo da oferta

Cloud Resourcing in Toronto, Canada is seeking a qualified data engineer to design and implement data solutions using Azure Data Factory, ADLS, Databricks and Power BI within a Lakehouse architecture.

You will collaborate with cross-functional teams, apply CI/CD practices, and ensure data governance, security and privacy while delivering scalable data processing pipelines using Python and SQL.

Qualificações

• Degree or diploma in Computer Science, Software Engineering, Information Technology, or a related field.
• Experience developing data solutions using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Databricks, Power BI, Delta Lake and Lakehouse architecture principles.
• Experience working with Azure DevOps, Git, CI/CD pipelines, and automated deployment practices.
• Strong proficiency in Python, SQL, and Spark-based data processing frameworks.
• Knowledge of data governance, security, privacy, and access control principles.

Conhecimentos

Python

SQL

Spark

Azure Data Factory

Azure Databricks

Power BI

Delta Lake

Lakehouse architecture

Azure DevOps

Git

CI/CD

Data governance and security

Formação académica

Degree or diploma in Computer Science, Software Engineering, Information Technology, or related field

Ferramentas

Azure Data Factory (ADF)

Azure Data Lake Storage (ADLS)

Databricks

Power BI

Delta Lake

Lakehouse architecture

Azure DevOps

Git

CI/CD pipelines

Automated deployment practices

Descrição da oferta de emprego

[Toronto, ON, M5A 3N7], Canada

3 - 5 Years

N/A

About Company

Cloud Resourcing is IT focused recruitement firm with focus on finding the bext role for the qualified candidates. We are seeking qualified resource for the following:

Job Description

Must Have:

• Degree or diploma in Computer Science, Software Engineering, Information Technology, or a related field.
• Experience developing data solutions using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Databricks, Power BI, Delta Lake and Lakehouse architecture principles.
• Experience working with Azure DevOps, Git, CI/CD pipelines, and automated deployment practices.
• Strong proficiency in Python, SQL, and Spark-based data processing frameworks.
• Knowledge of data governance, security, privacy, and access control principles.