Thoughtworks
LeadDataEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data Engineer at Thoughtworks. Skills: Data architecture, Data engineering, System design. Lead and manage data engineering projects. Set goals”
Industry & Context.
Problem solving
What They're Looking For.
Must Have
Experience leading system design, Experience implementing technical solutions, Created Big Data architecture, Build and operate data pipelines, Maintain data storage, Experience writing clean code, Experience with preferred programming language, Built and deployed large-scale data pipelines, Built and deployed data-centric applications, Experience with data visualization techniques, Experience with data-driven approaches, Experience with different types of databases
Nice to Have
Experience with modern data engineering tools, Experience with modern data engineering platforms, Experience with distributed storage platforms, Experience with distributed processing platforms, Experience with data security strategy, Experience with data privacy strategy
What You'll Do.
Lead and manage data engineering projects
Ensure on-time delivery
Collaborate with stakeholders
Understand strategic objectives
Identify opportunities to leverage data
Identify opportunities to leverage data quality
Design modern data architecture approaches
Develop modern data architecture approaches
Operate modern data architecture approaches
Provide end-to-end data solutions
Create data processing pipelines
Design data processing pipelines
Develop data processing pipelines
Address clients' challenging problems
Collaborate with data scientists
Design scalable implementations
Leverage continuous delivery practices
Deploy data pipelines
Support data pipelines
Operate data pipelines
Lead clients on distributed storage
Lead clients on distributed computing
Advise clients on distributed storage
Advise clients on distributed computing
Select modeling techniques
Implement chosen data model
Ensure data governance
Support business requirements
Support compliance requirements
Define strategy for data quality
Incorporate data quality into work
How You'll Work.
Team & Collaboration
Cross team collaboration
Communication Scope
Communicate insights
Process & Methodology
Goal-setting, Scope definition
Full Job Description
Lead data engineers at Thoughtworks develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. They might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On projects, they will be leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. Alongside hands-on coding, they are leading the team to implement the solution. Job responsibilities You will lead and manage data engineering projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration. You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality. You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems. You will collaborate with data scientists to design scalable implementations of their models. You write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines. You will lead and advise clients on how to use different distributed storage and computing technologies from the plethora of options available. You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack. You will be responsible for data governance, data security and data privacy to support business and compliance requirements. You will define the strategy for and incorporate data quality into your day-to-day work. Job qualifications Technical Skills You h
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