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Internship

Technology Solutions - Fall 2024 Co-op/Intern

Logo of Definity

Definity

•

10d ago

🚀 Off-cycle Internship

Toronto

AI generated summary

  • You should be enrolled in a Computer/Software Engineering Co-op program and have knowledge of Data engineering technologies to qualify for this position at Definity.
  • You will prepare data, code in Python/Scala/Spark, write shell scripts, document processes, write SQL queries, work with file formats, track issues, manage source code, integrate tools, and gain exposure to cloud technology.

Off-cycle Internship

Data•Toronto

Description

  • We are looking for Technology Solutions Co-op. Through this work, you will be utilizing both system analysis and technical skills. You will gain significant exposure to Data Engineering practices, exposure to distributed computing systems, and visibility into the business allowing you to understand policy lifecycle management and how distributed modern architectures are used to communicate to legacy-based environments.
  • This is an ideal opportunity for third- and fourth-year students. This position reports to the Big Data Team Lead and receives day-to-day supervision from the Project Manager and/or Technical Lead/Specialist.

Requirements

  • Currently enrolled in a full-time University or College Co-op program related to Computer/Software Engineering
  • Understanding Data engineering technologies

Area of Responsibilities

Data

Responsibilities

  • Preparing Data sample, Data ingestion and transformation in Google Cloud
  • Coding in either Python, Spark or Scala
  • Writing Shell Scripts
  • Documenting process, recovery process using Confluence
  • Writing SQL based queries
  • Understanding different file formats (e.g. AVRO, ORC, Parquet) and data movement into and out of Cloud based DBs.
  • Gaining experience of issue tracking (Jira), source code management (Bitbucket), continuous integrations tools (Jenkins), build tools, package management and testing framework
  • Exposure to cloud technology

Details

Work type

Full time

Work mode

hybrid

Location

Toronto