포지션 소개
Job Location
MANILA NET PARK OFFICE:
Job Description
We are currently looking for a Data Engineer to join our industry leading Data & Analytics team who is passionate about Business Units specific deliverables. Do you have what it takes to join our technical team and bring data to life? Are you able to take abstract business needs and turn those into actionable data pipelines and analytics platforms to answer business questions? The Data Engineer is responsible for building systems and Job Family Job Profile solutions leveraging various approved cloud platform components and tools in Microsoft Azure and Google Cloud. You will lead this design, implementation, actively code, and adapt it to ensure it functions well.
RESPONSIBILITIES:
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Build data & analytics solutions in Microsoft Azure or Google Cloud – craft technical solutions from approved architecture to acquire, process, store and provide insights based on the processed data.
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Develop within existing designs of various solutions in the cloud environment (Azure/GCP) to help the business get valuable insights.
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Work on automation and optimization of internal processes in Azure/GCP.
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Influence the future of these new technologies and the ways in which P&G uses them.
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Work with multifunctional and multinational teams within and outside of P&G.
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Focus on key business cases development within Data & Analytics + MS Azure/GCP
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Work on agile products using cloud solutions
Job Qualifications
- Proven experience in Python/Py Spark and SQL/SparkSQL programming skills.
- Experience in Big Data/ETL (Spark and Databricks preferred).
- Experience in implementing projects & solutions in cloud (Azure/GCP preferred, AWS).
- Knowledge and / or experience with using or building CI/CD tools.
- Knowledge of AAS, DAX and PowerBI front end.
- Previous experience or understanding of Data Models.
- Knowledge of Agile SCRUM and DevOps methodologies.
- English proficiency and at least a bachelor’s degree.
Job Schedule
Full time
Job Number
R000143655
Job Segmentation
Experienced Professionals
필수 스킬
Python
SQL
AWS
GCP
Azure
Spark
Procter & Gamble 소개
MANILA NET PARK OFFICE
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