Azure数据工程师 - 全远程 - 合同工(美元)
Azure Data Engineer - Full Remote - Contractor in USD
类别:IT 服务
地点:
为纽约的国际组织,我们正在紧急寻找一名远程 Azure 数据工程师。作为 Azure 数据工程师,您将负责设计和实现数据基础设施,该基础设施在数据中 hub 和 spoke 架构模型下提供标准的数据连接、存储、管道和数据集成服务
候选人需要能够在纽约当地时间正常办公时间每天工作4/5小时。例如,纽约时间上午9点等于晚上7:30。该职位面向员工和承包商开放
任务和职责:
- 收集符合非功能性及功能性业务需求的大规模、复杂数据集;
- 识别、设计并实施内部流程改进,包括重新设计基础设施以提高可扩展性,优化数据交付,以及自动化手动流程;
- 使用 Azure 和 SQL 技术构建所需的基础架构,以从各种数据源中进行最优的数据抽取、转换和加载;
- 构建分析工具以利用数据管道,为关键业务绩效指标(包括运营效率和客户获取)提供可操作的洞察;
- 与利益相关者(包括云基础设施团队、数据团队、治理和信息管理官员)合作,共同设计、开发、部署和支持数据解决方案及相关基础设施
要求:
- 本科或硕士学位;
- +5 年相关经验,具备详细的数据仓库技术架构、基础设施组件、ETL/ELT 以及报告/分析工具的知识;
- +3 年 Azure 云门户经验;
- 需熟练使用 Azure Data Factory 进行数据抽取、转换和加载;
- 需熟练使用 Azure 存储/数据湖/数据仓库;
- 需具备数据库架构测试方法的经验,包括执行测试计划、调试和测试脚本及工具;
- 需了解 Azure Synapse 分析;
- 具备 Python、Scala 和 Java 等编程语言的强实践经验者优先;
- 具备 Azure DevOps 和 Azure Purview 经验者优先;
- 英语流利;
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Category: IT Services
Location:
For an international organization in New York, we are urgently looking for a REMOTE Azure Data Engineer. As Azure Data Engineer, you are responsible for the design and implementation of a data infrastructure that provides standard data connectivity, storage, pipelining, and data integration services under a data hub and spoke architecture model
Candidates need to be able to work 4/5 hours per day in the normal office hours of New York, US. Example 9AM NY time equals 7:30PM. This role is open for employees and contractors
Tasks and responsibilities:
- Collecting large, complex sets of data that meet non-functional and functional business requirements;
- Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes;
- Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure and SQL technologies;
- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition;
- Working with stakeholders including cloud infrastructure teams, data teams, governance, and information management officers, to collaboratively design, develop and deploy and support data solutions and related infrastructure;
Profile:
- Bachelor or Master degree;
- +5 years of relevant experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools;
- +3 years of experience with Azure Cloud portal;
- Proficiency in working with Azure Data Factory - Extraction, Transformation and Loading is required;
- Proficiency in working with Azure Storage/ Data Lake / Data Warehouse is required;
- Experience with Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools is required;
- Working knowledge of Azure Synapse analytics is required;
- Strong experience in coding languages like Python, Scala & Java is a plus;
- Experience with Azure DevOps and Azure Purview are a plus;
- Fluent in English;
Interested: Please send your resume to
DetailsOriginally posted on Himalayas