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Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable
Data Modelling and Management: Developing and implementing data models, ensuring data quality, and
Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and
Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and
Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring
Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
10+ years of experience in data engineering or a similar role
Enterprise SaaS software solutions with high availability and scalability
Solution handling large scale structured and unstructured data from varied data sources
Experience in building and maintaining data platform systems such as distributed compute, data
Working with Product engineering team to influence designs with data, AI and analytics use cases in

Staff Engineer - Databricks

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