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Data Engineer

  • Toronto, ON, Canada

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Original job description

Job Title: Data Engineer

Contract: 3+ months Contract with extension or solid possibility to Hire

Location: Toronto – Onsite only

Required Technical Skills:-

  • Azure Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL.
  • Azure Data Lake Storage (ADLS) and Azure Data Factory (ADF).
  • ETL/ELT development, data modeling, data warehousing, and performance tuning.
  • Git, Azure DevOps, and CI/CD implementation.
  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
  • 7+ years of experience in Data Engineering.
  • 4+ years of hands-on experience with Azure Databricks.
  • Experience delivering enterprise-level cloud data platforms.
  • Databricks Associate or Professional certification is a strong advantage.
More about this job

Responsibilities

Develop and deliver enterprise-level cloud data platforms using Azure Databricks and related Azure data services. Build and optimize ETL/ELT workflows, data models, and data warehouse solutions, and implement CI/CD practices.

Requirements

Requires 7+ years of data engineering experience, including 4+ years of hands-on Azure Databricks experience, and a bachelor’s degree in a related field. Candidates should have experience with the listed Azure, Spark, programming, data engineering, and DevOps technologies; a Databricks Associate or Professional certification is a strong advantage.

Skills

  • Azure Databricks
  • PySpark
  • Spark SQL
  • Delta Lake
  • Python
  • SQL
  • Azure Data Lake Storage
  • Azure Data Factory
  • ETL/ELT Development
  • Data Modeling
  • Data Warehousing
  • Performance Tuning
  • Git
  • Azure DevOps
  • CI/CD
  • Cloud Data Platforms

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software

Keywords

  • Data Engineering
  • Azure Databricks
  • PySpark
  • Spark SQL
  • Delta Lake
  • Python
  • SQL
  • Azure Data Lake Storage
  • ADLS
  • Azure Data Factory
  • ADF
  • ETL/ELT
  • Data Modeling
  • Data Warehousing
  • Performance Tuning
  • Git
  • Azure DevOps
  • CI/CD
  • Enterprise Cloud Data Platforms

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