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Azure Databricks Developer

Jmgroupinc — Canada · Posted ~3 hours ago

Mid

Skills

Azure Databricks Azure Data Lake Storage SQL Data pipeline development Data transformation Data cleansing Database migration Data quality management Data integrity Data integration Large-scale data processing Troubleshooting Azure Data pipelines Cloud data processing

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Summary ✨ AI‑Generated

A technology-focused organization is seeking an experienced cloud data developer to build and maintain scalable data pipelines. You will use a managed analytics platform and cloud storage services to process large datasets, develop transformation workflows, support database migrations, and maintain data quality. Close collaboration with technical and business teams will help ensure reliable data integration and analytics-ready information.

Highlights

Opportunity to build scalable cloud data solutions, optimize large datasets, and contribute to database migration projects. The role combines modern data engineering, analytics enablement, and collaboration with cross-functional teams to deliver reliable, high-quality data.

Description

We are looking for an experienced Azure Databricks Developer with expertise in Azure Data Lake Storage (ADLS) to build and support scalable data solutions. The ideal candidate will be responsible for developing data pipelines, transforming large datasets, and supporting database migration initiatives using Azure technologies. Roles & Responsibilities Read, write, and manage data in Azure Data Lake Storage (ADLS).Build, execute, and maintain Azure Databricks notebooks and workflows.Design, develop, and support data pipelines for data integration and processing.Transform, cleanse, and optimize large datasets for analytics and reporting.Support database migration activities and ensure data quality and integrity.Collaborate with cross-functional teams to troubleshoot and resolve data-related issues. Qualifications & Skills Strong experience with Azure Databricks.Hands-on experience with Azure Data Lake Storage (ADLS).Experience in database migration projects.Proficient in SQL and data transformation techniques.Basic knowledge of Azure services and cloud concepts.Ability to work with large volumes of structured and unstructured data.