Job Description
Drive innovation as a Senior Data Engineer on the NBA team at RBC, Toronto. Focus on designing, implementing, and supporting robust data processing solutions that enable effective insights.
This full-time position at RBC seeks a strategic thinker with over four years of experience. You'll build scalable ETL/ELT data pipelines and collaborate with data scientists and business stakeholders. Your role will impact large-scale data processing while ensuring high system availability and performance.
Key Responsibilities:
• Design and build efficient ETL/ELT data pipelines
• Collaborate with data engineers and business partners
• Develop and support high-performance data platforms
• Create scripts for data conversion into usable formats
• Ensure automated data quality controls are in place
Requirements:
• 4+ years using Python, Apache Spark, and SQL
• Experience with Airflow, Hadoop, and large databases
• Education in computer science or software engineering
This full-time position at RBC seeks a strategic thinker with over four years of experience. You'll build scalable ETL/ELT data pipelines and collaborate with data scientists and business stakeholders. Your role will impact large-scale data processing while ensuring high system availability and performance.
Key Responsibilities:
• Design and build efficient ETL/ELT data pipelines
• Collaborate with data engineers and business partners
• Develop and support high-performance data platforms
• Create scripts for data conversion into usable formats
• Ensure automated data quality controls are in place
Requirements:
• 4+ years using Python, Apache Spark, and SQL
• Experience with Airflow, Hadoop, and large databases
• Education in computer science or software engineering