Senior Data Platform Engineer at Depop enabling teams with self - serve data capabilities. Architecting, building, and scaling the data platform for a peer - to - peer fashion marketplace.
About the role
- Platform Engineer with expertise in Databricks to manage and optimise the platform's performance and costs at Deloitte. Engaging in operational excellence and analysis of performance metrics.
Responsibilities
- Manage and optimise the Databricks platform to ensure high performance and cost efficiency
- Analyse DBU consumption and drive improvements in platform utilisation
- Monitor and enhance PySpark pipeline performance
- Make informed decisions on scaling up/down clusters based on workload demands
- Establish and maintain automated release management processes
- Focus on operational excellence across the platform environment
- Gather performance data and provide clear evidence-based insights to stakeholders and Databricks teams
Requirements
- Strong hands-on experience with Databricks platform engineering
- Solid expertise in PySpark and performance tuning
- Proven experience optimising data pipelines and platform costs
- Experience with cluster management and scaling strategies
- Ability to analyse performance metrics and present findings effectively
- Familiarity with platform operations and reliability best practices
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