Description
We are looking for two Data Engineers for separate projects: one in insurance and one in technology, focused on billing, revenue management and customer experience. Both roles require strong Python, PySpark and SQL skills, along with experience in big data, Azure and especially Microsoft Fabric. You will build data pipelines and combine data from different sources into reliable datasets for reporting, analysis and business decisions.
These hands-on roles are ideal for people who enjoy working with large datasets and building cloud-based data solutions. You will work remotely with English-speaking team. It is opportunity to join the project ASAP - in October.
Key responsibilities
Design, build and maintain data pipelines using Microsoft Fabric and Azure. Develop data-processing and transformation solutions using Python, PySpark and SQL. Integrate data from different systems and prepare it for reporting and analytics.
Clean, validate and model data to create reliable, easy-to-use datasets. Improve pipeline performance and troubleshoot data-processing issues. Work with analysts and business stakeholders to understand requirements and translate them into technical solutions.
Write clean, maintainable code and test data transformations and pipeline logic. Document data flows, technical decisions and the solutions you build. Ideal candidate profile Professional experience as a Data Engineer on senior level Strong Python skills and hands-on experience with PySpark.
Strong SQL skills
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