Cloud Data Engineer

Job title:

Cloud Data Engineer

Company

ProViso Consulting

Job description

Summary Of Day-To-Day Responsibilities:

  • Responsible for leading technical aspects of projects from inception through to deployment.
  • Participate in analysis and system design specification sessions. Documentation of design options and solutions according to System Development Life Cycle (SDLC) methodology.
  • Ensure that solutions adhere to development best practices and architectural principles.
  • Apply analytical skills to resolve problems and deliver viable solutions. Anticipate obstacles and execute proactive approaches to issues. Active participation in issue resolution.
  • Provide detailed development estimates to Project Manager for development effort as well as weekly status reporting and budget forecasting.
  • Configuration management for the sub projects within the release.
  • Responsible for coding, testing, packaging, deployment, and support of builds as code is promoted from development, system, acceptance and production environments.
  • May lead code reviews. Work closely with System Test Environment Management Team (STEMT) to ensure that environments are fully functional and that builds are properly deployed. Participate in development of test strategy, test plans, test cases and testing efforts (unit testing and integration testing of code).
  • Provide technical support to business and testing team during testing phases.
  • Track defects, defect triage and resolution.
  • Data set up and environment shake down.
  • Coaching / mentoring of junior developers.
  • Responsible for Data Access and Attestation Management (Privacy Impact Assessments inventory management, Use Cases Management, Cloud Controls Playbook management, Access Attestations management), Tableau Security Sites Management. Knowledge transfer within group including cloud training. Ensure required documentation is housed in the project repository and that knowledge transfer has occurred to full time staff.

Must Have:

  • Technical knowledge or experience with Cloud environments (MS Azure) as well as experience with Data Management and Analytics, Data Governance, Policies and Regulations including Data Access and Attestation Management, privacy impact assessments .
  • Strong technical knowledge and experience with: PySpark, SQL, Power Shell and Tableau
  • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
  • Experienced with Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation
  • Reading and comprehending data schemas, metadata, entity relationship diagrams and other technical documentation as well as writing documentation.
  • Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.
  • Strong statistical and analytical skills as well as a passion for analytics are necessary.
  • Databricks experience.
  • Synapse experience.

Nice To Have:

  • Experience presenting in front of big crowds/senior leadership is a plus.
  • Banking experience
  • Project Management experience. The project requires working and communicating with multiple Pods.

Job Details13065Contract12 monthsToronto

Expected salary

Location

Toronto, ON

Job date

Fri, 14 Mar 2025 23:41:27 GMT

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