Cloud Data Engineer in Ontario
Posted
Summary
Onsite Cloud Data Engineer in Toronto who designs, optimizes, and automates data pipelines (ETL/ELT, DataOps, CI/CD) for Government of Ontario projects. Core stack: Databricks, Azure Data Factory, SQL (PL/SQL, TSQL), Big Data frameworks, and Azure/AWS cloud.
Elevate your career as a Cloud Data Engineer, specializing in DataOps and ETL processes, working onsite in Ontario. Engage in complex data pipeline automation and optimization projects every day.
In this role, you will design and develop innovative data pipelines that enhance data flow for government initiatives. Your expertise in Cloud data platforms, data management, and advanced SQL will be essential. Expected to work onsite during standard hours, you will apply your skills to impact significant projects related to the Government of Ontario.
Key Responsibilities: • Design and develop sophisticated data pipelines • Optimize existing data pipelines for efficiency • Implement CI/CD for data workflow automation • Manage data migration across various platforms • Ensure compliance with DataOps best practices
Requirements: • 8+ years of experience in ETL/ELT processes • Proficient in Databricks and Azure Data Factory • Strong SQL skills (PL/SQL, TSQL) • Experience with Big Data processing frameworks • Familiarity with cloud technologies (Azure, AWS)
Leverage your skills in data engineering and Cloud technologies to support impactful initiatives in Ontario.
In this role, you will design and develop innovative data pipelines that enhance data flow for government initiatives. Your expertise in Cloud data platforms, data management, and advanced SQL will be essential. Expected to work onsite during standard hours, you will apply your skills to impact significant projects related to the Government of Ontario.
Key Responsibilities: • Design and develop sophisticated data pipelines • Optimize existing data pipelines for efficiency • Implement CI/CD for data workflow automation • Manage data migration across various platforms • Ensure compliance with DataOps best practices
Requirements: • 8+ years of experience in ETL/ELT processes • Proficient in Databricks and Azure Data Factory • Strong SQL skills (PL/SQL, TSQL) • Experience with Big Data processing frameworks • Familiarity with cloud technologies (Azure, AWS)
Leverage your skills in data engineering and Cloud technologies to support impactful initiatives in Ontario.