Requisition ID: 103112Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Purpose:
The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of automated systems that enable the production and management of re-usable data across different business lines and geographies that Scotiabank operates in. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.
The role of the Senior Data Engineer operates within the Product Engineering & Delivery team. This valuable member of the team will participate in creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use. We are looking for someone who will work with other data engineers, DevOps engineers, and other development/engineering teams in the bank to develop the technical solutions for enterprise data initiatives.
Key Accountabilities:
Design and implement services and components to enable enterprise-wide use of data
Automate and re-factor services code.
Work closely with data engineers and DevOps engineers to build data management capabilities that drive real business outcomes
Participate in planning and retrospective sessions, attend stand-ups, etc.
Functional Competencies:
Experience in building data software; experience with ETL a plus
Experience working with big data technologies (e.g. Spark, Hive, Airflow)
Experience with object-oriented programming languages (e.g. Scala, Python, Java)
Experience working with relational databases (e.g. MySQL, PostgreSQL)
Understanding of CI/CD (e.g. Jenkins, Git, Bitbucket, other)
Understanding of data management disciplines such as data quality, data profiling, etc.
Knowledge and understanding of container and micro-services technologies (e.g. Docker, Kubernetes) a plus
Experience with performance tuning data pipelines
Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
Strong communication skills, both written and spoken
Team player, self-starter
Attention to details, high standards for quality
Writing and maintaining clear documentation
Previous experience working in a financial institution a plus
Location(s): Canada : Ontario : Toronto Scotiabank is a leading bank in the Americas. Guided by our purpose: “for every future”, we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. At Scotiabank, 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. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.