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This is a technical lead role responsible to design, implement and scale: (1) Security and Governance to protect sensitive data, define access controls ensuring compliance with regulatory requirements, (2) Permissions strategy, (3) Policies and procedures for other engineers to ensure published content meets quality and performance benchmarks, and (4) DevOps and ML Ops. The role will also drive collaboration among BI engineers and foster knowledge sharing and act as a SPOC for the data engineering teams.Key job responsibilities
- Optimize and organize data pipelines into the visualization environment (QuickSight); contribute to data design, data modelling and data extracts/transforms.
- Build and manage ML pipelines, adapting CI/CD practices, model deployment, orchestration.- Define technical requirements for Data Engineering teams.
- Work in a genuinely global environment.
- Bachelor's degree in Computer Science, Engineering, Math, Finance, or related discipline.
- Professional experience working with large data sets and writing complex SQL queries to pull data.
- Relevant experience in a BI Engineer or Systems Admin role.
- Python mastery.
- Understanding of DevOps and ML Ops Concepts, version control, CI/CD pipelines, testing and monitoring, infrastructure automation.
- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner.
- Excellent communication (verbal and written) and interpersonal skills.
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