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Software Engineer
Software EngineerScotiabank • Toronto, ON, CA
Software Engineer

Software Engineer

Scotiabank • Toronto, ON, CA
Il y a 10 jours
Type de contrat
  • Temps plein
Description de poste

Please be advised that our Careers site will be unavailable from November 28 at 12am ET to November 29 12am ET for scheduled system maintenance.

Title : Software Engineer

Requisition ID : 239269

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The role

We are seeking a highly skilled Data Engineer to join the Canadian Banking Technology team, contributing to the success of CBT Data Services. This role requires deep technical expertise in data engineering, integration, analytics, and architecture, with a strong understanding of scalable systems and modern data platforms. The ideal candidate will be passionate about data quality, automation, and enabling business insights through robust data solutions.

What will you do?

  • Lead the design and implementation of scalable data solutions using modern architecture paradigms (e.g., Medallion, Lakehouse, Data Warehouse).
  • Develop and maintain data pipelines using tools such as Spark, Apache Beam, Apache Flink, and Talend.
  • Work with large structured and semi-structured datasets (e.g., ICEBERG, PARQUET, ORC, JSON, XML).
  • Champion DataOps principles including automated provisioning, profiling, and dashboard promotion.
  • Collaborate with cross-functional teams to support business intelligence, analytics, and operational reporting.
  • Conduct data quality analysis and root cause investigations to improve AML / KYC processes.
  • Support DevOps practices including CI / CD pipelines using Jenkins, Google Cloud Build, and Terraform.
  • Provide technical leadership in Agile environments (Scrum / Kanban) and contribute to production support when needed.
  • Engage with stakeholders to understand business needs and translate them into technical solutions.

What do you need to succeed?

  • Graduate degree in STEM discipline (Science, Technology, Engineering, Mathematics ); SW Engineering, Computer Science is desirable.
  • 5+ years of experience in IT, with 3+ years in Data Engineering, Integration, and Analytics.
  • 3+ years of experience with Big Data workloads, with hands‑on knowledge in data processing tools such as Spark, Apache Beam, and Apache Flink.
  • Hands‑on experience working with large files in formats such as ICEBERG, PARQUET, ORC, and semi‑structured files like JSON and XML.
  • Expert knowledge in different data architecture paradigms such as Medallion, Lakehouse, and Data Warehouse.
  • 3+ years of experience in SQL and ETL / ELT development.
  • 2+ years of hands‑on experience with one or more ETL tools (Spring Batch, NIFI, Talend).
  • 2+ years of experience with more than one programming language (preferably Python, Java, or Scala).c

  • 2+ years of experience with orchestration and scheduling tools such as Airflow.
  • Familiarity with Agile methodologies (Scrum / Kanban).
  • Experience in development and production support is an asset.
  • Experience running Jenkins, Google Cloud Build, Terraform pipelines, and working in a DevOps environment.
  • Strong understanding of RDBMS concepts and experience with at least one database technology (Oracle, SQL Server, DB2).
  • Understanding of object‑based and NoSQL databases such as MongoDB, Cassandra, and Elasticsearch is an asset.
  • Hands‑on experience with Unix / Linux CLI and shell scripting.
  • Experience with Git, Bitbucket, and Jenkins for code repository, version control, and promotion is a must.
  • Strong communication and presentation skills.
  • Ability to work effectively in cross‑functional teams and manage multiple priorities.
  • What's in it for you?

  • We have an inclusive and collaborative working environment that encourages creativity and curiosity and celebrates success.
  • We provide you with the tools and technology needed to create meaningful customer experiences.
  • You’ll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world.
  • We hire you for your talent — not just a job — so you can grow with us. We’ll equip you for success not only in your role, but also in your career as a whole.
  • Dress codes don’t apply here : being comfortable does.
  • Access to thousands of online and in‑person courses so you can hone your current skills, or learn new ones.
  • A competitive rewards package that includes a base salary, a performance bonus, company matching programmes on pension and profit sharing, paid vacation, personal & sick days, medical, vision, and dental and much more.
  • 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.

    Job Segment : Cloud, Data Warehouse, Software Engineer, Data Architect, Investment Banking, Technology, Engineering, Finance, Data

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