Azure Data Engineer Job at TekTronIT LLC, Canada

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  • TekTronIT LLC
  • Canada

Job Description

Key Responsibilities
  • Design and implement scalable data pipelines, ETL/ELT processes , and data integrations on Azure.

  • Build and manage data lakes, data warehouses, and analytics platforms using Azure services.

  • Develop and optimize Azure Data Factory (ADF) pipelines and data workflows.

  • Work with large, complex datasets and ensure data quality, lineage, and governance.

  • Create efficient data models using Azure Synapse Analytics, SQL Database, and Databricks .

  • Collaborate with data architects, analysts, business teams, and BI developers to deliver end-to-end data solutions.

  • Implement best practices for performance tuning, cost optimization, and security within Azure.

  • Automate data processes and workflows using Python, SQL, or PySpark.

  • Monitor, troubleshoot, and optimize data pipelines for reliability and scalability.

  • Maintain documentation, data dictionaries, and architectural diagrams.

Required Technical Skills Azure Data Services (Strong Experience Required):
  • Azure Data Factory (ADF)

  • Azure Synapse Analytics / SQL Data Warehouse

  • Azure Databricks (PySpark/Scala/Python)

  • Azure Data Lake Storage (ADLS Gen2)

  • Azure SQL Database / Azure SQL Managed Instance

Programming & ETL Skills:
  • Strong SQL programming skills

  • Experience with Python, PySpark, or Scala

  • Hands-on experience developing ETL/ELT workflows

  • Understanding of data modeling (star, snowflake), normalization, and warehouse design

Cloud & DevOps:
  • Integration with Azure DevOps (Repos, Pipelines)

  • CI/CD for data pipelines

  • Azure Functions / Logic Apps (nice to have)

  • Azure Monitor, Log Analytics for monitoring

Data Architecture Knowledge:
  • Data Lakehouse, Data Warehouse, and Big Data concepts

  • Delta Lake, Parquet, and optimized storage formats

  • Data security & governance (RBAC, Managed Identities, Purview optional)

Job Tags

Full time, Part time, Internship, Seasonal work,

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