Description:
Solution Architecture/Data Engineering Leaders are responsible for implementing
requirements into effective advanced analytic solutions (both AI and BI driven
solutions). They work directly with customer stakeholders to define, design and
deliver actionable insights, and lead teams of ETL developers and Data
Engineers in an agile environment. End-to-end delivery of customer projects –
from analysis of customer requirements, through solution design, to technical
implementation and ongoing support.
Solution Architecture/Data Engineering TLs are customer focused, have a “hands on
approach” together with a deep understanding and knowledge of the project
lifecycle process, working with customers, and hold a deep understanding and
expertise of the our platform specifically.
5-8 years of professional experience as senior data engineer / team lead
Extensive experience in DWH and BI architecture, SQL and PLSQL
development in a business environment with large-scale, complex datasets
Experience in Python development – an advantage
Experience in data analysis and exploration
Excellent analytical and problem solving skills, business analytical orientation and mindset
Experience in both leading data engineering teams and continuing to deliver “hands on” with the team; ability to work independently and
provide solutions for design and implementation
High level of written and spoken English
Experience in leading analytic solutions implementations for external customers abroad – a MUST
Bachelor’s degree in computer sciences, industrial engineering or equivalent field
Advantage: experience with Redshift DB
Advantage: experience in specific life science and pharmaceutical implementations
