Mercedes-Benz Financial Services is seeking a Data & Analytics Data Engineer to design, develop, and deploy scalable data pipelines and infrastructure in a Microsoft Azure-based data ecosystem. The role involves leading data product development, pipeline architecture, and automation, as well as contributing to data modernization and technical leadership. The ideal candidate has 5+ years of experience in designing and building data pipelines in Microsoft Azure and proficiency in object-oriented programming languages such as Python, R, Scala, and Java.
Requirements
- 5+ Years experience designing and building data pipelines in Microsoft Azure (Data Factory, Databricks (Lakehouse, Delta Lake, Unity catalog), ADLS, Integration Runtime, Express route & MS SQL Server) supporting Datawarehouses
- Proficient in creating data pipelines and in hybrid data movement from on-prem systems to MS Azure
- Experience with object-oriented programing languages such as Python, R, Scala, and Java
- Experience using wide variety of file formats and compression techniques
- Experience with CI/CD processes
- Bachelor’s Degree is required, Master’s Degree is preferred
- Recommended majors include: IT
Benefits
- Competitive salary
- Performance-based bonuses
- 401(K) with match
- Generous vacation and personal time
- Mercedes-Benz car program
- Flexible work arrangements
To apply for this job please visit daimler.taleo.net.
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