Data Engineer position at Equitable Bank.| Canada

_2026-04-27 bot

Equitable Bank Data Engineer

Experience: 3-years

Pattern: Full Time

Country:

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Bachelor's (B.A.)

Toronto....Canada

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<p><span style="font-size: 14px;">Purpose of Job:</span></p> <p> </p> <p><span style="font-size: 14px;">The Data Engineer will have the responsibility for the design and maintenance of enterprise data warehouse for various projects, as well as providing on-going support for activities impacting all enterprise databases. The ideal candidate will have hands-on experience with Azure Data Factory, Azure Data Lake, Azure Synapse, Azure Function App, Logic App, REST APIs, mapping dataflow, and Event Hub. As a key member of our team, you will collaborate with various stakeholders to ensure efficient data flow, storage, and integration, while employing best practices in data engineering.</span></p>\n<p></p><p><br></p><b>Main Activities:</b><ul> <li>1. Developing of Data Pipelines (50%)</li> </ul> <div>· Design, develop, and maintain scalable Synapse pipelines for data ingestion, processing, and transformation in Azure data platform.</div> <div>· Develop and optimize T-SQL and Python-based data processing scripts and integrate them with Synapse pipelines for ETL tasks and data transformations.</div> <div>· Design and develop mapping dataflow solutions for complex data transformations.</div> <div>· Develop and maintain data storage solutions, ensuring efficient data retrieval and storage on Azure Data Lake and databases.</div> <div>· Implement and maintain API integrations, including REST APIs, for seamless data flow between systems.</div> <div>· Design and test the end-to-end process for data ingestion, data transformation, data cleansing, data delivery, data quality and data timeliness.</div> <div>· Implement and ensure data security and privacy measures, complying with industry standards and regulations.</div> <div>· Monitor and optimize the performance of Azure data services, Azure Synapse pipelines, Function Apps, and Logic Apps.</div> <div>· Improve the scalability, efficiency, and cost-effectiveness of data pipelines.</div> <div> </div> <ul> <li>2. Requirements gathering and Technical Documentation (10%)</li> </ul> <div>· Participate in Joint Application Development sessions with business units to gather and understand their data and reporting requirements.</div> <div>· Create and maintain technical documentations for tools, development, and procedures.</div> <div> </div> <ul> <li>3. Data Strategy and Planning (10%)</li> </ul> <div>· Provide inputs and assist in enablement of Cloud based data solutions.</div> <div>· Develop and recommend innovative approaches to solve business and technical problems.</div> <div>· Work and collaborate with the larger team to exchange knowledge, solutions, and practices to build a more consistent, robust approach to development.</div> <div> </div> <ul> <li>4. Support and Maintenance of Enterprise Data Warehouse and BAU Tasks (30%)</li> </ul> <div>· Continuously improve performance and proactively identify and resolve bottlenecks that will reduce time to build and deliver our products.</div> <div>· Troubleshoot and resolve data-related issues in a timely manner for production and other environments (DEV,UAT,QA)</div> <div>· Perform business as usual tasks (BAU) that assigned</div><p><br></p><b>Skills/Knowledge Requirements:</b><ul> <li>Bachelor's degree or equivalent in the field of Computer Science or Engineering</li> <li>3+ years of Proven experience as a Data Engineer, specifically working with Microsoft Azure technologies.</li> <li>Proficient in T-SQL, Pyspark, Mapping Dataflow and Python programming language</li> <li>Hands-on experience with Azure data services, including Azure Data Factory, Azure Data Lake, Azure Function App, Azure Logic App, Azure SQL Database, Azure Synapse Analytics, mapping dataflow, and Event Hub.</li> <li>Understanding of data warehousing concepts and best practices.</li> <li>Experience with Data modeling.</li> <li>Experience in working with structured, semi-structured and unstructured data.</li> <li>Excellent written and verbal communication skills</li> <li>Excellent multi-tasking and organizational skills</li> </ul><p><br></p><p></p>\n

Data Engineer job opportunity at Equitable Bank.

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