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Data Engineer
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Toronto, Ontario, Canada CB Canada Full timeAzure Data EngineerThe Azure Data Engineer is a technical leader in our Data & Analytics commercial data engineering team. Responsibilities include the design, build, optimization, and maintenance of experiments, prototypes, and products across the organization's Microsoft Azure's Data Platform.The incumbent will use modern and innovative technology to help...
Data Engineer
1 month ago
Are you a skilled data engineer looking for a new challenge? We're seeking a talented individual to join our team as a Data Engineer at Scotiabank.
About the RoleWe're looking for a highly motivated and experienced data engineer to design, build, and operationalize our Customer Profile Database using Google Cloud Platform (GCP) data services. As a Data Engineer, you will work closely with senior data engineers to develop frameworks and custom code using best practices that meet demanding performance requirements.
Key Responsibilities- Design and implement data ingestion patterns that support batch, streaming, and API interfaces on both ingress and egress.
- Work with senior data engineers to develop frameworks and custom code using best practices that meet demanding performance requirements.
- Design and build production data pipelines from data ingestion to consumption using GCP services, Java, Python, Scala, BigQuery, DBT, SQL, and other technologies.
- Experience with Cloud Dataflow using Java/Python for deploying streaming jobs in GCP and batch jobs using text/JSON files and writing them to BigQuery.
- Build and manage data pipelines with a deep understanding of workflow orchestration, task scheduling, and dependency management.
- Ability to do proof of technology using GCP technologies and work with data architects and solution architects to achieve desired results and performance.
- 2+ years of experience in data engineering, performance optimization for large OLTP applications with a minimum of 4+ years of working experience as a Google Cloud Platform (GCP) developer.
- Experience with primary managed data services within GCP, including DataProc, Dataflow, BigQuery/DBT, Cloud Spanner, Cloud SQL, Cloud Pub/Sub, and other technologies.
- Experience with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL) and relational/NoSQL databases.
- Experience with data streaming and technologies such as Kafka, Spark-streaming, and other related technologies.
- Experience with Infrastructure as Code (IaC) practices and frameworks like Terraform.
- Knowledge of Java microservices and Spring Boot.
- Working knowledge of developing and scaling Java REST services using frameworks such as Spring.
- Good communication and problem-solving skills, with the ability to effectively convey ideas to business and technical teams.
- Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank.
- Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone.
- Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
- Competitive Rewards program including bonus, flexible vacation, personal, sick days, and benefits starting on day one.
- Community Engagement - opportunities for community engagement and belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital, and more.
We're committed to creating a diverse and inclusive workplace that reflects the communities we serve. We welcome applications from qualified candidates of all backgrounds.
Hybrid working arrangement available.