Job Description
Join Techedin as a Senior Data Engineer working in a hybrid model in Toronto. This role focuses on scalable data analysis, insights generation, and building robust data pipelines.
In this position, you will leverage your 5+ years of experience and strong skills in Python, Spark, and SQL to design large-scale data infrastructures. The job involves translating business requirements into actionable data architectures and collaborating with diverse teams including data scientists, product managers, and analysts.
Key Responsibilities:
• Design and implement scalable batch and real-time data pipelines
• Translate business needs into effective data architectures
• Automate workflows and maintain cloud infrastructure
• Collaborate with teams to drive data insights
• Create dashboards and reports to monitor KPIs
Requirements:
• 5+ years of experience in data engineering
• Proficiency in Python, Spark, and SQL
• Experience with Snowflake and Airflow
• Familiar...
In this position, you will leverage your 5+ years of experience and strong skills in Python, Spark, and SQL to design large-scale data infrastructures. The job involves translating business requirements into actionable data architectures and collaborating with diverse teams including data scientists, product managers, and analysts.
Key Responsibilities:
• Design and implement scalable batch and real-time data pipelines
• Translate business needs into effective data architectures
• Automate workflows and maintain cloud infrastructure
• Collaborate with teams to drive data insights
• Create dashboards and reports to monitor KPIs
Requirements:
• 5+ years of experience in data engineering
• Proficiency in Python, Spark, and SQL
• Experience with Snowflake and Airflow
• Familiar...