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описание
The consultancy delivers modern data platforms and large-scale data engineering solutions, with a focus on scalability, performance, and modern data and AI engineering practices.
задачи
Build and improve modern data platforms;
Work with Databricks and Delta Lake;
Develop data solutions using Python and PySpark;
Write and optimise SQL and data engineering workflows;
Build and maintain data pipelines and ETL/ELT processes;
Optimise performance and platforms;
Work with Azure cloud infrastructure;
Work in Kubernetes and containerised environments;
Design scalable data architectures and solutions;
Troubleshoot issues and provide production support;
Build, optimise, and challenge existing solutions.
требования
2–3+ Years of hands-on Databricks experience;
Strong Python and PySpark skills;
Excellent SQL skills;
Experience working with Azure;
Kubernetes experience;
Strong understanding of data engineering and architecture;
Experience optimising Databricks/Spark workloads;
Comfortable working independently in a senior engineering capacity;
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