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Data EngineerTechtronic Industries • Toronto
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Data Engineer

Data Engineer

Techtronic Industries • Toronto
30+ days ago
Job type
  • Full-time
Job description

What You Will Do

The Data Engineer will lead the delivery of scalable and high-impact data infrastructure solutions from concept to deployment.

In this position, the Data Engineer will:

  • Design, develop, and maintain efficient data pipelines to support analytics and BI needs.
  • Ingest and integrate data from multiple sources, including on-premises SQL Server, cloud platforms, APIs, and flat files.
  • Implement data transformation logic to clean, enrich, and prepare data for reporting and advanced analytics.
  • Collaborate with Data Analysts, BI Developers, Data Scientists, and business stakeholders to understand requirements and translate them into technical solutions.
  • Ensure data integrity, consistency, and accuracy through validation, monitoring, and governance practices.
  • Optimize ETL/ELT processes for performance, scalability, and cost-effectiveness.
  • Work with cloud-based data platforms (e.g., Azure, Snowflake, Databricks) to modernize TTI Canada’s data ecosystem.
  • Support the development of a centralized data lake/data warehouse architecture.
  • Implement best practices for data security, access control, and compliance.
  • Monitor pipelines and troubleshoot ingestion or transformation failures.
  • Create and maintain technical documentation for data pipelines, workflows, and architectures.
  • Contribute to continuous improvement initiatives by evaluating and implementing emerging data engineering tools and practices.

What You Will Bring

  • Legally entitled to work full-time in Canada and able to travel to the United States.
  • Bachelor’s Degree in Computer Science, Information Systems, Engineering, or related field.
  • 3–5 years of experience as a Data Engineer, Database Developer, or related role.
  • Strong SQL skills and experience working with relational databases (e.g., SQL Server, Oracle, PostgreSQL).
  • Proficiency with ETL/ELT tools and data pipeline orchestration (e.g., Azure Data Factory, dbt).
  • Experience with cloud platforms such as Microsoft Azure, Snowflake, or Databricks.
  • Strong programming skills in Python or Scala for data processing and automation.
  • Familiarity with big data file formats (e.g., Parquet, ORC, JSON) and distributed processing frameworks (e.g., Spark).
  • Understanding of data modeling, data warehousing, and dimensional design principles.
  • Knowledge of data governance, security, and compliance best practices.
  • Excellent problem-solving abilities, attention to detail, and communication skills.
  • Ability to work collaboratively in cross-functional teams and adapt to a fast-paced environment.

What You Will Benefit From

  • Extensive health benefits, including vision and dental care
  • Retirement Savings Plan with Employer Matching Contributions
  • Competitive Base Salary
  • iPhone, and laptop
  • Paid time off and employee discount programs
  • Annual $500 Wellness Program allowance

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Data Engineer • Toronto

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