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Internship

Velocity - Data Engineer Internship/Co-Op - Fall 2024

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Scotiabank

20d ago

🚀 Off-cycle Internship

Toronto

3d left

AI generated summary

  • You thrive on learning and want to work for a global company that invests in your growth. Experience with Big Data technologies, cloud platforms, MinIO, Python, R, SQL, and CI/CD is essential. Join us for an exciting internship/co-op opportunity this fall!
  • You will perform data exploration, automate pipelines, monitor model performance, optimize runtime, and experiment to enhance analytics platforms at Scotiabank.

Off-cycle Internship

DataToronto

Description

  • There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).  
  • The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine! 

Requirements

  • You are currently enrolled in post-secondary education.
  • You love to learn and envision yourself working for an international organization that heavily invests in your future.
  • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
  • You have knowledge/experience in:
  • Big Data Technologies (Hive/Beeline, HDFS, Sqoop, Spark)
  • Cloud platforms – GCP, Azure or AWS
  • MinIO Data Storage, Airflow, Trino
  • DB2, SQL Server
  • Python (PyHive, PySpark), R, SQL-Shell (Bash, Korn) & general Linux/Unix
  • CI/CD tech stack (BitBucket, Jenkins, Artifactory)

Education requirements

Currently Studying

Area of Responsibilities

Data

Responsibilities

  • Perform data exploration on different data sources and model training
  • Productionalize/Operationalize advanced analytics models following the Bank standards. ModelOps plays a key role as a liaison with other teams (Security, Privacy, Data Office, Analytics, Technology, among others)
  • Automate data pipelines and trigger actions/events to streamline business processes and models enablement
  • Enable mechanisms for Data Scientist and stakeholders to monitor the performance of a Model
  • Monitor the run time of the models, work closely with Data Scientist on continuous optimization
  • Monitor data pipelines, liaise with vendors, and source systems groups in the event of failures/maintenance
  • Migrate data pipelines and models to new analytics platforms
  • Experiment & learn!

Details

Work type

Full time

Work mode

office

Application deadline

May 24, 2024

Location

Toronto