07 Sep
|
Jones Lang LaSalle
|
Toronto
07 Sep
Jones Lang LaSalle
Toronto
Elevate your data engineering career with JLL in Toronto. In this in office role, you'll leverage AI, automation, and advanced data pipeline techniques to drive strategic business value.
As a Data Engineer 2, you will develop enterprise-level data solutions utilizing automation and AI capabilities. Your work will involve translating complex business requirements into effective technical specifications while solving high-complexity data challenges. This position emphasizes collaboration with senior engineers and stakeholders to impact the delivery of data solutions within scrum processes.
Key Responsibilities:
• Develop advanced ETL/ELT workflows for data processing
• Build and enhance CI/CD pipelines using intermediate techniques
• Create native data ingestion capabilities from various sources
• Implement data monitoring and error handling in pipelines
• Collaborate across teams to translate business needs into data solutions
Requirements:
• Bachelor’s in Computer Science or related field
• 2-5 years' experience in data engineering or similar
• Proficient in Python, SQL, and data orchestration tools
• Familiar with Azure, AWS, or GCP data services
• Understanding of AI integration in data workflows
Utilize your skills in data engineering and AI/automation to make strategic impacts at JLL.
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📌 AI-Powered Data Engineer at JLL (Toronto)
🏢 Jones Lang LaSalle
📍 Toronto