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Senior Data Engineer

Akkodis

Etobicoke, Canada

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Posted: 4 hours ago

Job Description

<p>Are you passionate about building and optimizing cloud-based data pipelines? Then this is the role for you!</p><p><br></p><p>Akkodis is partnered with a leading financial service firm who specialize in payment processing. They're looking for a Senior Data Engineer to help design, build, and optimize enterprise grade data systems using Snowflake, Azure, and Databricks.</p><p><br></p><p>In this role, you'll design and build data integration solutions, help streamline data movement across systems, and ensure high-quality, reliable data delivery for analytics and reporting.</p><p><br></p><p><b>What You'll Do</b></p><ul><li>Build, enhance, and support data pipelines and ETL processes using Azure Data Factory, Snowflake, and Databricks.</li><li>Work with both structured and unstructured data to support enterprise reporting and analytics.</li><li>Collaborate with data architects, analysts, and business stakeholders to understand requirements and implement scalable solutions.</li><li>Support ongoing modernization and cloud migration initiatives.</li><li>Help improve data quality, governance, and performance across the platform.</li><li>Contribute to best practices in data engineering, version control, testing, and automation.</li></ul><p><br></p><p><b>What You Bring</b></p><ul><li>At least 8+ years of hands-on experience in data engineering, ETL, or data warehousing.</li><li>Strong expertise in Snowflake, Azure (Data Factory, Data Lake, Synapse), and Databricks.</li><li>Proven experience with ETL tools (Talend, SSIS, Informatica, or DataStage).</li><li>Solid SQL and Python skills for data manipulation and transformation.</li><li>Familiarity with data modeling and cloud-based architecture principles.</li><li>Excellent communication skills and a collaborative, solution-oriented mindset.</li></ul><p><br></p><p>If you're an experience Data Engineer who enjoys working across Snowflake, Azure, and Databricks, and wants to help shape modern, cloud-first data ecosystem, we'd love to hear from you!</p>
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