Lead QC Engineer

About Project:  

Our Client is the leading global brewer and one of the world's top five consumer products companies. 

The goal of the current 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

Requirements: 

• 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.)
• Good English is a must
• Good presentation skills 
• Will be a plus: 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

Duties and Responsibilities: 

• Participation in R&D work for different parties, stakeholders, and workflows
• Estimation and scope decomposition
• Risk assessment, defining dependencies and assumptions
• Technical specifications and architecture vision document creation
• Technology assessments and comparisons
• Participation in discovery phases and workshops covering all technical aspects of the deal
• Prototypes and proof-of-concept creation with their further delivery and presentation to stakeholders
• Participation in the implementation phase defining and creating the core of one or another system, transferring the knowledge to the team, monitoring the execution in the long run
• Interviewing potential candidates