Senior Data Engineer leading scalable data infrastructure design at Spellbook. Collaborating with distributed teams to transform contract data into actionable insights.
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
Requirements
- 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)
Benefits
- Health and well-being benefits
- Paid time off
- Career development opportunities
- Flexible work arrangements
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