Senior Data Platform Engineer Downtown Toronto
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Summary
A 6-month hybrid contract role in Downtown Toronto: the Senior Data Platform Engineer designs and leads scalable data pipelines, integrates diverse data sources into a unified analytics foundation, mentors engineers, and sets standards using Python, SQL, Hadoop ecosystems, and Azure/AWS cloud platforms.
Shape data engineering strategies as a Senior Data Platform Engineer in a hybrid capacity in Downtown Toronto. Lead initiatives for data transformation and analytics enablement.
In this 6-month contract role, you will spearhead the crafting of scalable data pipelines while integrating diverse data sources into a unified analytical foundation. Collaborating with multidisciplinary teams, you'll bridge the gap between analytics and engineering, ensuring the delivery of high-quality data solutions.
Key Responsibilities: • Oversee ingestion and processing of high-dimensional datasets • Design and implement analytical data pipelines • Partner with stakeholders on scalable engineering solutions • Provide mentorship and set engineering standards • Identify areas for innovation within data processes
Requirements: • 8+ years in data engineering and analytics leadership • Proficiency in Python, SQL, and Hadoop ecosystems • Hands-on experience with data integration tools • Experienced in cloud platforms (Azure/AWS) • Familiar with data governance and security
Leverage your expertise to enhance organizational data capabilities and support impactful business decisions in Toronto.
In this 6-month contract role, you will spearhead the crafting of scalable data pipelines while integrating diverse data sources into a unified analytical foundation. Collaborating with multidisciplinary teams, you'll bridge the gap between analytics and engineering, ensuring the delivery of high-quality data solutions.
Key Responsibilities: • Oversee ingestion and processing of high-dimensional datasets • Design and implement analytical data pipelines • Partner with stakeholders on scalable engineering solutions • Provide mentorship and set engineering standards • Identify areas for innovation within data processes
Requirements: • 8+ years in data engineering and analytics leadership • Proficiency in Python, SQL, and Hadoop ecosystems • Hands-on experience with data integration tools • Experienced in cloud platforms (Azure/AWS) • Familiar with data governance and security
Leverage your expertise to enhance organizational data capabilities and support impactful business decisions in Toronto.