Data Operations Development Team Lead

How you'll make an impact:

• Manage team expectations with regards to task assignments, work arrangements and data product priorities.
• Provide encouragement to team members, including communicating team goals and identifying areas for new training or skill checks.
• Work with stakeholders throughout Geotab and TPM to ensure work allocation has a feasible definition of done from a technical perspective.
• Prepare detailed technical design of software components and systems architecture based requirements, and prepare all related documentation.
• Ensure technical expertise is available within the team to provide expert project leadership and guidance to team members as needed
• Ensure all pipelines follow a well-defined SDLC through Git and CI/CD 
• Contribute to technical implementation of pipelines as needed
• Perform quality assurance analysis by performing peer review, ensuring coding standards are followed, looking for logic errors, and other bugs.
• Analyze call stacks, trace files, and performance data to troubleshoot and identify root cause of bugs.
• Actively participate in design discussions and document requirements and technical design of data engineering solutions.
• Participate in a 24x7 on-call rotating schedule (if applicable)
• Assist with the development and maintenance of data engineering guidelines, policies, standards and processes.
• Support remediation of issues within production pipelines and data products
• Provide expert project leadership and guidance to the team as SME.
• Oversee the activities and performance of direct reports:
• Engage in the development of the team by coaching, providing feedback, identifying areas of growth, and training opportunities.
• Collaborate and support employees during the performance management process, meeting KPAs, and career development planning.

What you'll bring to this role:

• Post-secondary Degree/Diploma specialization in Computer Science, Engineering, Mathematics, or a related field
• 3-5 years experience in Data Engineering or a similar role. 
• 3-5 years of experience with SQL.
• 3-5 years of experience building ETL/ELT production pipelines in Python.
• Leadership experience in a team-oriented workplace.
• Knowledge of data management fundamentals and data storage principles.
• Knowledge of batch and streaming data architectures.
• Solid understanding and experience with any of the relational databases (MySQL, Postgres, SQLServer etc).
• Experience with Big Data environments (e.g. Google BigQuery) is an asset.
• Experience with CI/CD processes and tools, such as Gitlab runners or Jenkins is required.
• Knowledge of workflow orchestration tools is required (e.g. Apache Airflow)
• Knowledge of Linux and command line commands is required.
• Experience with cloud based infrastructure, especially Google Cloud Platform, is an asset.
• Previous experience with python package development is highly regarded.
• Strong project management skills; able to identify needs, develop effective solutions, and manage projects through to completion.
• Possess a well-defined sense of diplomacy, including solid negotiation, conflict resolution, and relationship management skills.
• Entrepreneurial mindset and comfortable in a flat organization.
• Must stay relevant to technology and have the flexibility to adapt to the growing technology and market demands.