Data Engineer in Winnipeg
15 hours ago
Winnipeg, Manitoba, Canada
Michael Page International (Canada)
Full-time
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Join a leading company in the industrial sector as a Data Engineer in Winnipeg, specializing in Azure data platforms and scalable solutions. Drive data pipelines and deliver analytics expertise to optimize workflows.
The role demands a professional with over three years of experience in data engineering, specifically with skills in Python, PySpark, SQL, and ETL development. You will design and maintain scalable data pipelines while collaborating with stakeholders to understand and meet data requirements. Your knowledge of cloud-based best practices will be crucial for troubleshooting and optimizing data workflows.
Key Responsibilities
• Design and develop scalable data pipelines for diverse sources
• Collaborate with teams to understand and optimize data needs
• Review operations data and address current issues
• Create tools for processing large data volumes
• Provide troubleshooting and root cause analysis support
Requirements:
• Minimum 3 years of experience as a Data Engineer
• Proficiency in Python, PySpark, and SQL
• Advanced skills in Azure data services
• Understanding of DevOps and CI/CD practices
• Degree in Computer Science or related field Bring your data engineering skills to this impactful role, optimizing organizational decision-making through quality data management.
Key Responsibilities
• Design and develop scalable data pipelines for diverse sources
• Collaborate with teams to understand and optimize data needs
• Review operations data and address current issues
• Create tools for processing large data volumes
• Provide troubleshooting and root cause analysis support
Requirements:
• Minimum 3 years of experience as a Data Engineer
• Proficiency in Python, PySpark, and SQL
• Advanced skills in Azure data services
• Understanding of DevOps and CI/CD practices
• Degree in Computer Science or related field Bring your data engineering skills to this impactful role, optimizing organizational decision-making through quality data management.