About the role

Data Engineer Intern gaining hands-on experience in TD's big data platform. Collaborating on software development and system enhancements while learning about analytical tools and technologies.

Responsibilities

Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
Design, develop and deploy system enhancements
Perform Unit and System Integration tests
Document system deployment plans for system implementation and code deployment
Participate in Proof-of-Concept (POC) on new technologies and document findings
Provide recommendations with full usability analysis
Perform root-cause analysis and resolution of application defects
Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery

Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
Test Data Tools Knowledge (CA TDM or Delphix)
Familiarity with source code management such as GIT
Familiarity with Jira and Confluence
A thirst for constantly exploring emerging technology
Skills that would be an asset, but not required: Familiarity with RDBMS, Big data, Familiarity with Data Warehousing, ETL, ELT concepts, Familiarity with Pandas, Numpy, Scikit-learn, Matplotlib, Ruby, Linux, Interest or aptitude in Financial Systems and the Financial Industry, Familiarity with Cloud technology (Azure, AWS, GCP)