- Design and develop data objects and data processing jobs on the Azure Data Platform
- Design and implement end-to-end analytics solutions using Palantir Foundry
- Integrate various data sources and manage data connections
- Build scalable data transformation pipelines in PySpark
- Optimize and automate data processing jobs (log review, query plan analysis, partitioning, code simplification)
- Ensure data quality, governance, and security (access concepts) across the entire analytics flow
- Collaborate with cross-functional teams to translate business requirements into technical specifications
- Troubleshoot and resolve functional and technical data issues
- Actively contribute to team goals and support peers in solving analytical challenges
- 5+ years of professional experience in Data Engineering
- Strong hands-on experience with complex data transformation jobs and analytics solutions
- Expertise in Python/PySpark and distributed computing frameworks like Spark
- Advanced SQL proficiency
- Proficiency with Git
- Experience with cloud platforms (Azure or AWS), preferably Azure Databricks
- Experience with Palantir Foundry is a strong advantage
- Experience working across business and technical teams
- Agile mindset (Scrum experience preferred; Azure DevOps is a plus)
- Knowledge of REST APIs or Power BI is a plus
- Strong communication skills, proactive mindset, and collaborative approach
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Senior Data Engineer - European Union - BGTS

2 hari yang lalu
Deskripsi
BGTS is a software and technology solutions company with over 1,800 professionals and 25+ years of experience. Through engineering expertise and industry insight, our international offices deliver tailored solutions, enabling clients worldwide to achieve their business goals with flexibility, speed, and impactful results.
For a long-term project in the automotive sector, we are looking for an experienced Data Engineer who enjoys building end-to-end analytics solutions and turning complex data into reliable, business-ready assets. In this role, you will work closely with business and technical stakeholders to design, develop, and optimize scalable data pipelines on a modern Azure Data Platform, leveraging Palantir Foundry, PySpark, and cloud-native technologies to deliver high-quality, secure, and impactful analytics solutions.
Responsibilities
Requirements
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