高级顾问 数据架构与工程 - 远程办公
Senior Consultant Data Architecture & Engineering - WFH
TASQ 正在寻找一位数据架构与工程主管（GDC），远程工作，时间为下午5点至凌晨2点。
职位亮点
领导机会：该职位将帮助你拓展和提升在技术领导岗位上的知识和经验。包括技术决策；对更初级团队成员的指导和辅导；以及与项目、客户和公司管理层建立关系，同时在自己的专业领域保持实际操作能力。
我们的技术重点是 Azure；你将有大量令人兴奋的机会来提升你在微软和 Azure 方面的技能，在一个致力于技术卓越和客户体验的特定、明确领域中成长。在我们团队的六个月经验相当于其他地方的多年经验。
微软合作伙伴关系：我们与微软的全球良好关系确保我们有前沿的 Azure 工作机会，并能接触到构建平台的团队。其他地方无法找到这样的机会。
具有竞争力的薪酬包，包括薪资、津贴、标准福利，包括季度和年度基于绩效的现金奖金及其他报酬。良好的工作环境和公司文化，支持灵活的工作地点。
通用要求的技术技能：
至少 5 年相同领域的工作经验。
在云和混合数据仓库环境中设计和实现逻辑和物理数据模型的专业知识
实施支持多种数据格式和结构的数据架构，包括结构化、半结构化和非结构化数据
具备多个全生命周期数据仓库实施的经验；了解支持数据集成处理的数据架构；熟悉数据建模工具如 ER/Studio、ER/Win 或类似工具；并熟悉 Microsoft Azure 数据平台服务，包括 Azure Data Lake Store、Azure Storage、Azure Synapse、Azure Data Factory、Azure SQL 数据库、Logic Apps 和 APIs
展示出快速学习、采用并应用新技术的能力
数据剖析和源到目标映射的创建
能够配置和部署 Azure 数据服务资源
详细要求技能：
Python & SQL 脚本
SQL, PySpark
通用云架构能力：能够根据需求构建数据管道
需要具备 API 知识，但优先考虑能够创建 API 的候选人
优先经验
查看英文原文
TASQ is looking for a Lead Consultant, Data Architecture & Engineering (GDC), to work on a remote setup from 5pm to 2am.
Job Highlights
Leadership Opportunities: This role will help you extend and expand your knowledge and experience in technical leadership positions. These include technical decision-making; guidance and mentorship of more junior team members; and developing relationships with project, client, and company leadership, all while remaining hands-on in your areas of expertise.
Our technology focus is on Azure; you'll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else.
Microsoft Partnerships: Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities and access to the teams that have built the platform. You won't find this at other places.
Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonuses, and other remuneration. Great working environment and company culture with flexible work location.
General Required Technical Skills:
At least 5 years of experience in the same field.
Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
Implementing data architectures to support a variety of data formats and structures, including structured, semi-structured, and unstructured data
Experience with multiple full life-cycle data warehouse implementations; understanding of data architectures required to support data integration processing; experience with data modeling technologies such as ER/Studio, ER/Win, or similar; and experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, and APIs
Demonstrated ability to quickly learn, adopt, and apply new technologies
Data profiling and creation of source-to-target mappings
Ability to provision and configure Azure data service resources
Detailed Required Skills:
Python & SQL Scripting
SQL, PySpark
General Cloud Architecture competency skillset: capable of taking requirements and building out data pipelines
API Knowledge is required, but preference given to candidates who can create APIs
Preferred Experience/Skills/Certifications:
Microsoft Fabric
Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
Experience creating strategies to migrate customers from on-premise environments to Azure
Power BI and semantic modeling
AWS Glue & Azure Data Factory
AWS $3 & Azure Blob
AWS Athena & Azure Databricks
AWS Redshift & Azure Synapse
AWS ECS & Azure AKS
Originally posted on Himalayas