Data Engineer

Dasro Consulting Inc.; Regina; On-site; CAD 75,000 - 115,000; Full time

Job summary

Dasro Consulting Inc. is seeking a Data Engineer for an onsite role in Regina, SK. The ideal candidate will have a degree in a quantitative field, extensive experience with ETL processes, and proficiency in SQL Server and Python. Responsibilities include designing data pipelines and ensuring data management compliance. Candidates willing to relocate are encouraged to apply.

Qualifications

• 5+ years’ recent experience in ETL, data management, and data modeling.
• Relevant job experience in North America.
• Advanced Python skills for developing ETL processes.

Responsibilities

• Design, create, and maintain robust data pipelines.
• Monitor and troubleshoot database issues.
• Ensure compliance with data privacy regulations.

Skills

SQL Server

SSIS

Python

Big Data Technologies

Data Pipelines

Education

Degree or Diploma in Computer Science, Engineering, Data Sciences, or a quantitative discipline

Tools

Databricks

Azure Data Factory

Git

Job description

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Manager - Operations |Onboarding & Operations - Shared Services | Business Operations/VMS / Vendor management

We are looking for a Data Engineer for one of our clients in Regina, SK. This is an onsite role, Candidates willing to relocate are welcome to apply.

Mandatory Requirements

Educational & Experience Requirements:

• Degree or Diploma in Computer Science, Engineering, Data Sciences, or a quantitative discipline
• 5+ years’ recent experience in ETL, data design, data architecture, data management, and data
• modeling
• Relevant job experience in North America

Core Technical Skills:

• SQL Server & SSIS: Expert proficiency with SQL Server (on-premises), including stored
• procedures, and SSIS package-level deployment.
• Data Pipelines: Proven experience designing, creating, and maintaining robust data pipelines
• and ETL processes.
• Monitoring: Skilled in monitoring and troubleshooting database issues to ensure compliance
• with policies and regulations.
• Python for ETL: Advanced Python skills applied to developing ETL processes following software
• development best practices (including automated testing and code reviews).
• Big Data Tools: Proficient in leveraging big data technologies, including PySpark and SparkSQL
• Cloud Expertise: Hands-on experience with cloud-based platforms such as Databricks, Azure
• Data Factory, and Azure Data Lake.
• Lakehouse Architecture: Knowledgeable in implementing lakehouse architectures using Delta
• format and optimization strategies.
• API Integration: Experience working with external third-party APIs as ETL sources, including
• Microsoft Graph APIs to integrate and automate tasks across Microsoft services.
• Automation & Deployment: Familiar with CI/CD processes and tools—including Databricks asset
• bundles (DABs) for managing workflows—and proficient with version control systems (e.g., Git)
• for ETL deployments.

Data Management & Communication:

• Understanding of data management principles as outlined by DAMA/DMBoK
• Ability to provide insights on evolving database integration, storage, and utilization needs
• Overseeing integration from legacy/on-premises systems to new solutions
• Clear communication of technical information and the ability to train/support staff
• Knowledge of data privacy and confidentiality regulations (e.g., PIPEDA

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

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