Job Description
Minimum 5 years’ experience as a Data Engineer , ideally in cloud-based environments such as Databricks, AWS, or Azure . Strong experience designing and building ETL pipelines for large, complex datasets. Solid understanding of data lake and data warehouse architectures and data modelling techniques. Advanced SQL skills and experience working with large-scale datasets. Experience integrating data from multiple systems and sources to create a unified data model. Experience working with BI and reporting tools such as Tableau, or Power BI . Experience working in agile development environments and using version control tools (e.g. Git). Strong communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders. Desirable: Experience designing and automating ETL workflows, including the use of tools such as Alteryx. ...
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