SoftServe is the largest Ukrainian IT company, a team of 5,500+ thinkers and makers, true professionals and good people. We like what we do and do it well. For us, that means a lot.
17 июня 2019

Data Engineer (Hadoop) (вакансия неактивна)


Необходимые навыки

• Solid understanding of Hadoop (Hive)+Talend and hands-on experience knowledge and understanding of given technology: its ecosystem, pros, and cons, available modules and libraries. Hands-on experience in it
• Skills and experience around integration, customization, and configuration of different types of tools (integration of modules to applications, APIs, services, data flows, etc.)
• Spark knowledge is a plus

• Experience in designing, defining quality attributes and technical drivers, development of the application and solution-scale systems. Experience of work with architecture modeling tools (e.g. UML etc.)
• Experience in creating technical specifications or architecture visions covering quality attributes, diagrams, associated risks, technical and system requirements

• Preferable proven experience in leading small teams of engineers to drive them, decompose the complexity to tasks, mentor them and back-up if needed, communicate and convince around that or another decision
• Understanding of other stakeholders roles who do not report to the person but take very active participation during the design, decision making, selling, implementation and other activities (like the sales team, delivery team, etc.)

Soft skills:
• Fluent English is a must
• Ability to communicate and advocate the proposed technical solution
• Willingness to learn something new — either around core technology stack, or even new related technologies
• Ability to estimate efforts and justify them in front of customer and delivery organization, efficiency in getting buy-ins from different parties
• Willingness to deal with quickly changing and flexible priorities in multi-tasking and dynamic environments
• The desire to participate in different proof-of-concept and prototyping activities, technology assessments and comparison exercises
• Good presentation skills — all important messages are to be delivered in a clear and certain way so that everyone (including non-technical persons) could have an understanding of why one or another decision took place


• R&D
• Customer and domain research
• Services presentation
• Ideation and scoping
• Feasibility and estimation
• Proposal preparation
• Project Maintenance
• Refactoring
• Support and maintenance plan
• Architecture revision and updates
• Product Discovery

О проекте

The goal of the project is to:
• Aggregate data from all sales systems, primarily from SFDC
• To store them in Azure cloud using Hadoop
• Process using Hadoop, meaning create all needed pre-aggregated data which can be used for analytics purposes
• Design analytics level using Qlik

Горячие вакансии

Все вакансии