Senior Data Engineer to design and optimize data pipelines including implementing Data Lakehouse architectures and optimizing ETL workflows

S I Systems; Edmonton, Calgary; Hybrid; CAD 110,000 - 150,000; Full time

Job summary

S I Systems in Canada seeks a Senior Data Engineer to design and optimize data pipelines, including Data Lakehouse architectures and ETL workflows, for a power and utilities client. Calgary or Edmonton candidates are preferred with a hybrid in-office and work-from-home model.

You will build robust data platforms on cloud, implement governance, collaborate with data architects and analysts, and drive performance and cost efficiency while ensuring secure, reliable data for analytics products.

Qualifications

• 10+ years as a Data Engineer with cloud data platforms and analytics enablement.
• Experience building robust, scalable data pipelines.
• Experience implementing data lakehouse architectures and ETL optimization.
• Experience applying data governance and quality checks.

Responsibilities

• Design and develop scalable data pipelines for large datasets.
• Integrate data from databases, APIs, and third-party systems.
• Design and implement data warehousing solutions for analytics and reporting.
• Optimize data processing systems for performance and cost efficiency.
• Implement data quality checks and governance practices.
• Maintain documentation for data infrastructure and systems.
• Collaborate with teams to resolve technical issues.

Skills

Senior Data Engineer

Cloud platforms

Analytics enablement

Data Bricks

Azure Data Factory

Data pipelines

Data lakehouse

ETL workflows

Data governance

Quality checks

Collaboration with data teams

Tools

Data Bricks

Azure Data Factory

Job description

Senior Data Engineer to design and optimize data pipelines including implementing Data Lakehouse architectures and optimizing ETL workflows

Our power & utilities client is seeking a Senior Data Engineer to design and optimize data pipelines including implementing Data Lakehouse architectures and optimizing ETL workflows

Calgary or Edmonton candidates preferred. Hybrid work model of in-office and WFH

Must Haves

• 10+ years as a Data Engineer with deep expertise in cloud-based data platforms and analytics enablement programs
• Experience in Data Bricks, and Azure Data Factory building robust, scalable data pipelines
• Experience implementing data lakehouse architectures and optimizing ETL workflows for performance and cost efficiency
• Experience applying data governance and quality checks to ensure accuracy and compliance.
• Experience collaborating with Data Architects, Data Scientists, and Analysts to deliver secure, reliable, and accessible data for analytical products.

Strong Nice to Have

• ITIL service delivery framework and change management processes
• Relevant certifications in data engineering or cloud platforms
• Machine learning techniques and tools
• Data governance principles and practices

Responsibilities

• Design and develop scalable data pipelines to process and manage large datasets
• Integrate data from databases, APIs, and third-party systems
• Design and implement data warehousing solutions for analytics and reporting
• Optimize data processing systems for performance and cost efficiency
• Implement data quality checks and governance practices
• Maintain documentation for data infrastructure, processes, and systems
• Collaborate with application, security, infrastructure, operational support, and project teams to resolve technical issues

Our power & utilities client is seeking a Senior Data Engineer to design and optimize data pipelines including implementing Data Lakehouse architectures and optimizing ETL workflows

Calgary or Edmonton candidates preferred. Hybrid work model of in-office and WFH

Must Haves

• 10+ years as a Data Engineer with deep expertise in cloud-based data platforms and analytics enablement programs
• Experience in Data Bricks, and Azure Data Factory building robust, scalable data pipelines
• Experience implementing data lakehouse architectures and optimizing ETL workflows for performance and cost efficiency
• Experience applying data governance and quality checks to ensure accuracy and compliance.
• Experience collaborating with Data Architects, Data Scientists, and Analysts to deliver secure, reliable, and accessible data for analytical products.

Strong Nice to Have

• Azure cloud platform experience
• ITIL service delivery framework and change management processes
• Relevant certifications in data engineering or cloud platforms

  Responsibilities

  • Design and develop scalable data pipelines to process and manage large datasets
  • Integrate data from databases, APIs, and third-party systems
  • Design and implement data warehousing solutions for analytics and reporting
  • Optimize data processing systems for performance and cost efficiency
  • Implement data quality checks and governance practices
  • Maintain documentation for data infrastructure, processes, and systems
  • Collaborate with application, security, infrastructure, operational support, and project teams to resolve technical issues
  Disclaimer:
  AI may be used in evaluating candidates.
  This posting is for an existing vacancy.