Data Engineer (Mid-Level)

CoreKonnect is seeking a Mid-Level Data Engineer to join a growing data engineering team supporting enterprise data platforms. The ideal candidate will have strong experience in data modeling, SQL development, ETL pipeline development, and Azure-based data platforms including Azure Data Factory, Azure Data Lake, and Azure Databricks.

In this role, you will help design, develop, and maintain scalable data pipelines and modern data platforms, enabling analytics teams and business stakeholders to access reliable and high-quality data.

  • Location

    Mississauga

  • Education :

    Bachelor's degree in Computer Science, Information Technology, or related field.

  • Experience :
    6–8 years of experience in Data Engineering or related roles, strong expertise in SQL and data modeling, experience building ETL pipelines and orchestration workflows, hands-on experience with Azure Cloud Platform
  • Skills :
    Strong analytical and problem-solving skills, ability to work independently and within a collaborative team environment.
  • Apply Within

    15 days

  • Send resumes to

    geo.augustine@corekonnect.ca

Key Responsibilities

  • Data Engineering & Pipeline Development
    • Design and develop scalable data pipelines using Spark, Databricks, and ETL tools.
    • Build and maintain data models and schemas to support analytics and reporting requirements.
    • Develop and optimize SQL queries, stored procedures, and functions for efficient data processing.
  • Cloud Data Platform Development
    • Work with Azure Data Services, including:
      • Azure Data Factory
      • Azure Data Lake
      • Azure Databricks
    • Build and maintain cloud-based data architectures that support large-scale data processing.
  • Integration & Data Processing
    • Integrate data from multiple sources including APIs (REST and GraphQL), databases, and cloud services.
    • Develop automated workflows to ingest, transform, and deliver data for analytics use cases.
  • Data Quality & Governance
    • Implement best practices related to data governance, data security, and data quality.
    • Monitor and troubleshoot data pipelines to ensure reliability and performance.
  • Collaboration & Documentation
    • Work closely with data analysts, data scientists, and business stakeholders to understand requirements.
    • Document data architecture, workflows, and best practices.
    • Participate in code reviews and continuous improvement initiatives.

Required Qualifications

  • 6–8 years of experience in Data Engineering or related roles.
  • Strong expertise in SQL and data modeling.
  • Experience building ETL pipelines and orchestration workflows.
  • Hands-on experience with Azure Cloud Platform, particularly:
    • Azure Data Factory
    • Azure Data Lake
    • Azure Databricks
  • Strong knowledge of Spark, Python, or Scala for data processing.
  • Experience integrating data from REST APIs and GraphQL services.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and within a collaborative team environment.
  • Bachelor's degree in Computer Science, Information Technology, or related field.

Preferred Qualifications

  • Certifications in Azure Data Engineering or Databricks.
  • Experience with BI and reporting tools such as Power BI or Tableau.
  • Exposure to multi-cloud environments (AWS or GCP).
  • Experience working in financial services or regulated industries.
Send your resume to geo.augustine@corekonnect.ca
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