Lead Data Engineer with GCP Skills
Lead Data Engineer at Scotiabank in Toronto, designing and maintaining large-scale data pipelines, leading a collaborative team, implementing SaaS automation tools, and ensuring data quality for decision-making. Core tech includes GCP, SQL, Python, Java, Scala, and ETL/ELT tooling.
- Compensation
- Not disclosed
- Location
- Toronto, Canada
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 8+ years dedicated to data platforms and engineering
- 5+ years with comprehensive ETL/ELT pipeline experience
- Proficient in SQL, Python, Java, and Scala programming
- 5+ years in Azure cloud solutions and Databricks
- Strong ability to communicate complex data issues
Full description
Become a Lead Data Engineer at Scotiabank, specializing in Google Cloud Platform (GCP). Drive scalable data solutions and help craft resilient architectures that support data-driven growth.
This senior position offers a chance to showcase your expertise in data engineering while leading a collaborative team. You will design and maintain complex data pipelines and work closely with stakeholders to enhance our data ingestion capabilities, ensuring high-quality, reliable data for decision-making.
Key Responsibilities:
- Design and build effective data pipelines for large datasets
- Implement SaaS tools to enhance workflow automation
- Collaborate with product managers for requirement gathering
- Validate data quality and optimize pipeline performance
- Lead technical discussions to drive innovation
Requirements:
- 8+ years dedicated to data platforms and engineering
- 5+ years with comprehensive ETL/ELT pipeline experiences
- Proficient in SQL, Python, Java, and Scala programming
- 5+ years in Azure cloud solutions and Databricks
- Strong ability to communicate complex data issues
Contribute to Scotiabank’s mission by leveraging your deep expertise in data engineering to drive performance and innovation.