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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Data Engineer

Procter & Gamble
Manila City, Metro Manila
Estimasi Gaji
PHP 600.000 – PHP 1.200.000
Live Update
28 April 2026
Batas Akhir
28 Apr 2027

Deskripsi Pekerjaan

Join Procter & Gamble's pioneering Data & Analytics team as a Data Engineer and transform how we leverage data to drive business decisions. We're seeking a passionate innovator to design, build, and maintain scalable data architectures that power our global operations. In this role, you'll bridge the gap between raw data and actionable insights, ensuring our business units have access to reliable, high-quality data for strategic initiatives. Collaborate with cross-functional teams to develop end-to-end data pipelines, optimize data workflows, and implement cutting-edge solutions that solve complex business challenges. If you thrive in dynamic environments and are excited about shaping the future of data infrastructure at one of the world's most trusted brands, we invite you to apply.

Tanggung Jawab

  • Design, develop, and maintain robust data pipelines and ETL processes
  • Collaborate with data scientists and analysts to understand business requirements
  • Implement data quality frameworks and governance practices
  • Optimize data storage solutions using cloud technologies (AWS/GCP/Azure)
  • Build real-time data streaming solutions using technologies like Kafka
  • Create and maintain data documentation and technical specifications
  • Monitor system performance and troubleshoot data pipeline issues

Kualifikasi

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 3+ years of experience in data engineering or similar role
  • Strong proficiency in Python, SQL, and big data technologies (Spark, Hadoop)
  • Experience with cloud data platforms (AWS/GCP/Azure) and data warehousing
  • Familiarity with data orchestration tools (Airflow, Luigi)
  • Knowledge of data modeling and database design principles
  • Excellent problem-solving and communication skills

Keahlian yang Dibutuhkan

Data Engineering Python SQL Spark Hadoop AWS Azure GCP Data Pipelines ETL Data Warehousing Kafka Airflow Data Governance

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