Data Administrator at Montreal developing and managing scalable data pipelines in Azure. Involved in data governance and automation across corporate data platforms and solutions.
Responsibilities
Develop and manage scalable, secure data pipelines in Azure Synapse Analytics and Azure Data Lake Storage Gen2 (ADLS Gen2);
Work with large volumes of data using Python, SQL, and PySpark;
Build robust, scalable, and maintainable automations for systems, APIs, web processes, and file handling;
Support the design and evolution of the enterprise data platform using Microsoft Fabric, promoting best practices in governance from data source to consumption;
Document developed solutions and assist with monitoring, error handling, and maintenance;
Propose and implement continuous improvements to data and automation processes.
Requirements
Completed Bachelor's degree in Information Technology or a related field.
Proven experience in data engineering on Azure;
Knowledge of data modeling, ETL/ELT, data lineage, and metadata;
Familiarity with data governance frameworks and practices such as Data Catalog, Data Lineage, and Data Quality;
Experience with languages such as SQL, Python, and/or PySpark for data processing.
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