Data Engineer - Azure/Databricks

Oshawa, Ontario, CanadaHybridContractEntry-level (exp-based)Posted 2 months ago

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Role summary

Our client is seeking two Data Engineers with extensive experience in Microsoft technologies, specifically Azure and Databricks, for 1-year contract positions. These hybrid roles require 2 days per week on-site in Oshawa. The Data Engineers will design, build, and support data-driven applications, working within an agile, cross-disciplinary team. Key responsibilities include developing reliable and performant data lake and data warehouse products using tools like Azure Data Factory, ADLS, Synapse Analytics, Azure Databricks, and SQL databases to support reporting, analytics, and innovation.

Our Client in Oshawa is looking to hire 2 Data Engineers with deep experience as a Data Engineer with Microsoft Technologies. These positions are 1 year contract roles - hybrid 2 days/week on-site in Oshawa.

Job Overview

As an Azure and Databricks Data Engineer, you will be responsible for designing, building and supporting the data driven applications which enable innovative, customer centric digital experiences.
Will be working as part of a cross-discipline agile team who help each other solve problems across all business areas.
Will build reliable, supportable & performant data lake & data warehouse products to meet the organization’s need for data to drive reporting analytics, applications, and innovation.
Work with tools in the Microsoft Stack; Azure Data Factory, Azure Data Lake, Azure SQL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Microsoft Purview, and Power BI.

Qualifications

Experience as a Data Engineer designing and building data pipelines.
Fluent in creating data processing frameworks using Python, PySpark, SparkSOL and SOLExperience with Azure Data Factory, ADLS, Synapse Analytics and Databricks
Experience building data pipelines for Data Lakehouses and Data Warehouses
Good understanding of data structures and data processing frameworks
Knowledge of data governance and data quality principles

Please reach out to discuss the position further.....

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