数据架构与工程负责人（GDC）- 远程
Lead Consultant - Data Architecture & Engineering (GDC) - Remote
TASQ正在寻找一位数据架构与工程主管（GDC），远程工作时间从下午5点到凌晨2点。
详细要求技能：
至少4年相关领导经验
Python & SQL 脚本编写
SQL, PySpark
通用云架构能力：能够根据需求构建数据流水线
需要了解API，但优先考虑能创建API的候选人
优选经验/技能/认证：
Microsoft Fabric
Microsoft Azure Cosmos DB、Data Flows、Express Route、Azure Active Directory
有将客户从本地环境迁移到Azure的经验
Power BI和语义建模
AWS Glue & Azure Data Factory
AWS $3 & Azure Blob
AWS Athena & Azure Databricks
AWS Redshift & Azure Synapse
AWS ECS & Azure AKS
职位亮点：
领导机会 - 此职位将帮助你拓展和扩展在技术领导岗位上的知识和经验。包括技术决策；指导和培养更初级的团队成员；与项目、客户和公司领导建立关系 - 同时在你的专业领域保持实际操作。
我们的技术重点是Azure，你将在一个致力于技术卓越和客户体验的特定领域中，获得大量令人兴奋的机会来提升你在微软和Azure方面的技能。在我们团队六个月的经验相当于其他地方几年的经验。
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大量前沿的Azure工作机会，并能接触到构建该平台的团队。其他地方找不到这样的机会。
具有竞争力的薪酬包，包括薪资、津贴、标准福利，包括季度和年度绩效奖金，以及其他报酬。良好的工作环境和公司文化，支持灵活的工作地点。
一般要求的技术技能：
有领导小型到中型技术团队的经验（包括分配和分发任务给团队成员，处理技术升级和支持，以及在敏捷会议和客户会议中代表团队）。
精通设计和实现云和混合数据仓库环境中的逻辑和物理数据模型
实施数据架构以支持各种数据格式和结构，包括结构化、半结构化和非结构化数据
有使用多种数据存储和处理工具的经验
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.
Detailed Required Skills:
At least 4 years of relevant leadership experience
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
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 Azureyou'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:
Experience leading small to medium-sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, and representing the team in Agile ceremonies and client meetings).
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 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
Originally posted on Himalayas