AWS ML Data Engineer/Architect

Toronto, Ontario, CanadaOnsiteFull TimePosted 2 months ago

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Role summary

Seeking an experienced AWS ML Data Engineer/Architect with over 10 years of total experience, including 15 years in data engineering analytics and 8 years specifically on AWS. The role requires strong AWS architecture expertise across Data, Analytics, ML, and AI domains, with a proven track record in leading large-scale data platforms and transformation initiatives. Key responsibilities include hands-on experience with Big Data ecosystems (Hadoop, Spark, Hive, HBase, NoSQL), ELT/ETL processes, Data Lakes, Data Warehouses, and Analytics pipelines. The candidate will enable Data/ML teams, set up cloud platforms, and demonstrate strong knowledge of data modeling, DW design, and Agile delivery, alongside leadership in solution design, stakeholder engagement, and production support.

"Total Experience: 10+ years

Required Skill Sets:

• 15 years in data engineering analytics with 8 years on AWS Strong AWS architecture experience across Data, Analytics, ML AI domains

• Proven expertise in Data Engineering, Big Data, AWS Cloud (Data, ML AI), and Enterprise Analytics, with a strong track record of leading large-scale data platforms and transformation initiatives.

• Expertise in Big Data ecosystems Hadoop, Spark, Hive, HBase, NoSQL

• Hands-on with ELT ETL, Data Lakes, Data Warehouses, Analytics pipelines

• Experience enabling DATAML teams and cloud platform setup

• Strong knowledge of data modeling, DW design, and Agile delivery

• Leadership in solution design, stakeholder engagement, and production support

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