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Publicado hace 184 días

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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.

Qualifications
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:

  • Demonstrated proficient to advanced mastery in applied data technologies
    • SQL
    • Linux
    • Shell Scripting
    • Relational databases, ER models/diagrams
  • Have proficient knowledge in programming languages such as Python, Java and R
  • Demonstrated skills in database / data modelling or are experienced with Hive, Impala, and other noSQL databases
  • Good written and verbal communication skills to engage with others, primarily Data Science
  • Demonstrated use of data and BI tools
  • Demonstrated ability to handle multiple priorities

·       Ability to work collaboratively across functions

El contenido de este aviso es de propiedad del anunciante. Los requisitos de la posición son definidos y administrados por el anunciante sin que Konzerta sea responsable por ello.
La empresa dio por finalizado este aviso.
¡Te has postulado con éxito!