高级数据工程师
Senior Data Engineer
开发工程限定地区(需当地身份)
公司Madiff
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
This is a remote position.
We are seeking aData Engineerto join a cross-functional delivery team working on the development ofdata lakes,analytical platforms, andreal-time streaming solutionsusing modernAzure technologies. This role offers the opportunity to work in an Agile environment with direct access to product and business owners, shaping high-impact data products from concept to deployment.
Main Responsibilities
· Design, build, and monitorETL pipelinesusingAzureandSpark technologies
- Implement scalable, cloud-nativedata processing workflowsusingPySpark
- Configure and operate core Azure services:Databricks,Azure Data Factory,Azure Data Lake Storage, andAzure Functions
- Collaborate closely with analysts, data scientists, and software engineers to deliver robust data solutions
- Translate business needs into reliable and secure data products
- Ensure data quality, governance, and performance best practices across solutions
Requirements
- At least4 yearsof professional experience indata engineering
- Proven experience withlarge-scale data processing and transformation pipelines
- Hands-on knowledge ofAzureor other majorcloud platforms
- Solid coding skills inPython(especially pandas/numpy) andSQL
- Familiarity withGit workflowsin a collaborative development setting
- Fluency inPolishandEnglish(C1 minimumlevel in English required)
Nice to Have
· Experience withLinux/Bash scripting
- Familiarity withDockerorKubernetes
- Domain experience inretail,financial services,energy, or thepublic sector
Benefits
- Solid, competitive salary.
- Work in multilingual, multinational and multicultural environment on international projects
- Medical care
Originally posted on Himalayas
本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。
本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。
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