Data Engineer

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  "source_hash": "64c5495e35a59b656eb65d2fdee032840ec89fb95277bff44f2bf634df5930ae",
  "last_changed_at": "2026-05-31T10:33:39.173Z",
  "active_status": "deleted"
}

{
  "language": "en",
  "location": {
    "raw": "Toronto",
    "city": "Toronto",
    "region": "ON",
    "country": "Canada",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-05-29T07:01:07.969Z",
  "launch_scope": {
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    "included": true,
    "language": "en",
    "location": {
      "raw": "Toronto",
      "city": "Toronto",
      "region": "ON",
      "country": "Canada",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "Canada"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
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{}

{
  "lists": [
    {
      "text": "Main Activities:",
      "content": "\n<li>1. Developing of Data Pipelines (50%)</li>\n\n<div>· Design, develop, and maintain scalable Synapse pipelines for data ingestion, processing, and transformation in Azure data platform.</div>\n<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>\n<div>· Design and develop mapping dataflow solutions for complex data transformations.</div>\n<div>· Develop and maintain data storage solutions, ensuring efficient data retrieval and storage on Azure Data Lake and databases.</div>\n<div>· Implement and maintain API integrations, including REST APIs, for seamless data flow between systems.</div>\n<div>· Design and test the end-to-end process for data ingestion, data transformation, data cleansing, data delivery, data quality and data timeliness.</div>\n<div>· Implement and ensure data security and privacy measures, complying with industry standards and regulations.</div>\n<div>· Monitor and optimize the performance of Azure data services, Azure Synapse pipelines, Function Apps, and Logic Apps.</div>\n<div>· Improve the scalability, efficiency, and cost-effectiveness of data pipelines.</div>\n<div>&nbsp;</div>\n\n<li>2. Requirements gathering and Technical Documentation (10%)</li>\n\n<div>· Participate in Joint Application Development sessions with business units to gather and understand their data and reporting requirements.</div>\n<div>· Create and maintain technical documentations for tools, development, and procedures.</div>\n<div>&nbsp;</div>\n\n<li>3. Data Strategy and Planning (10%)</li>\n\n<div>· Provide inputs and assist in enablement of Cloud based data solutions.</div>\n<div>· Develop and recommend innovative approaches to solve business and technical problems.</div>\n<div>· Work and collaborate with the larger team to exchange knowledge, solutions, and practices to build a more consistent, robust approach to development.</div>\n<div>&nbsp;</div>\n\n<li>4. Support and Maintenance of Enterprise Data Warehouse and BAU Tasks (30%)</li>\n\n<div>· Continuously improve performance and proactively identify and resolve bottlenecks that will reduce time to build and deliver our products.</div>\n<div>· Troubleshoot and resolve data-related issues in a timely manner for production and other environments (DEV,UAT,QA)</div>\n<div>· Perform business as usual tasks (BAU) that assigned</div>"
    },
    {
      "text": "Skills/Knowledge Requirements:",
      "content": "\n<li>Bachelor's degree or equivalent in the field of Computer Science or Engineering</li>\n<li>3+ years of Proven experience as a Data Engineer, specifically working with Microsoft Azure technologies.</li>\n<li>Proficient in T-SQL, Pyspark, Mapping Dataflow and Python programming language</li>\n<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>\n<li>Understanding of data warehousing concepts and best practices.</li>\n<li>Experience with Data modeling.</li>\n<li>Experience in working with structured, semi-structured and unstructured data.</li>\n<li>Excellent written and verbal communication skills</li>\n<li>Excellent multi-tasking and organizational skills</li>\n"
    }
  ],
  "country": "CA",
  "createdAt": 1777313981193,
  "updatedAt": null,
  "categories": {
    "team": "Enterprise Data",
    "location": "Toronto",
    "commitment": "Full Time",
    "department": "Enterprise Data",
    "allLocations": [
      "Toronto"
    ]
  },
  "salaryRange": null,
  "workplaceType": "hybrid"
}