Data Engineers at P&G are technical masters: at P&G they need to be effective technologists, self-motivated, and able to source and develop data models to fuel the analytics, developed by the analysts and data scientists, which improve P&G’s business results. Technical mastery and interpersonal /communication skills are therefore a must to thrive in a team. Your job is to onboard complex data or optimize data models and code into scale pipes and jobs that will drive the analytics into insights. Data and Analytics roles include:
Data Engineer - Practitioner of advanced data modeling and optimization of data and analytics solutions at scale. Expert in data management (any sources of data like POS, Consumer profile, ...) , data access (Big Data, traditional Data Marts, ...), advanced in programming (python, Shell scripting, Java, and SQL), advanced data base modeling, familiarity with analytic algorithms and applications (like Machine learning) . Be a leader in P&G data capability building.
Technically Capable: As a P&G Data Engineer, you will “get your hands dirty”, leveraging data types and various data models to enable a range of analytic solutions. You should be adept at leveraging such technologies for managing and manipulating data, scaling data models and solutions to support the analytics for business insights.
As a P&G data wrangler or Engineer you will be a part of an award-winning Business Intelligence and IT community that is Global in scope, and operates across all of P&G’s core disciplines.
We are looking for leaders who have graduated with a BS or MS in Business/Management Information Systems and/or Computer Science/Engineering, Programming/Software Development or Operations Research or Statistics who have:
· Ability to work collaboratively across functions