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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Data Engineer (Data Platforms) - Python, Docker | Onsite in Manila

Avensys Consulting
Manila City, Metro Manila
Estimasi Gaji
PHP 88.000 – PHP 110.000
Live Update
16 Juni 2026
Batas Akhir
16 Jun 2027

Deskripsi Pekerjaan

Join Avensys Consulting as a Data Engineer specializing in enterprise-scale data platforms! We're seeking a technical innovator to architect, build, and optimize robust data ecosystems that drive business intelligence and analytics. In this fully onsite role, you'll transform raw data into actionable insights while leveraging cutting-edge technologies like Python and Docker. Collaborate with cross-functional teams to design scalable data pipelines, implement ETL processes, and ensure data integrity across distributed systems. This is your opportunity to make a tangible impact on data-driven decision-making in a dynamic, growth-oriented environment.

Tanggung Jawab

  • Design, implement, and maintain scalable data pipelines and infrastructure
  • Develop ETL/ELT processes using Python and containerization technologies
  • Optimize data storage, processing, and retrieval for enterprise-scale platforms
  • Ensure data quality, security, and compliance with industry standards
  • Collaborate with data scientists and analysts to support analytics initiatives
  • Automate data workflows and monitoring systems
  • Troubleshoot and resolve data pipeline performance issues

Kualifikasi

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 3+ years of experience in data engineering or similar roles
  • Expert proficiency in Python and SQL for data manipulation
  • Strong knowledge of Docker containerization and orchestration
  • Experience with cloud data platforms (AWS/Azure/GCP) preferred
  • Familiarity with big data technologies (Spark, Hadoop, Kafka)
  • Understanding of data warehousing and data modeling concepts
  • Excellent problem-solving and communication skills

Keahlian yang Dibutuhkan

Data Engineering Data Platforms Python Docker ETL SQL Big Data Data Warehousing Cloud Platforms Data Pipelines

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