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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Azure Data Engineer

Lewis Personnel Management
Makati City, Metro Manila
Estimasi Gaji
PHP 170.000 – PHP 250.000
Terbaru
Live Update
12 Juli 2026
Batas Akhir
12 Jul 2027

Deskripsi Pekerjaan

Join Lewis Personnel Management as an Azure Data Engineer and transform raw data into actionable business intelligence. This hybrid role offers a competitive salary of ₱170,000 – ₱250,000 per month, ideal for professionals passionate about cloud-based data solutions. You'll architect and implement scalable data pipelines using Azure's powerful ecosystem, including Data Factory, Databricks, and Synapse Analytics. Collaborate with cross-functional teams to design data models that drive strategic decision-making while ensuring data governance and security best practices. This position combines technical depth with business acumen, offering growth opportunities in one of Southeast Asia's most dynamic tech hubs. If you thrive in environments where data meets innovation, this role is your next career-defining challenge.

Tanggung Jawab

  • Design and implement end-to-end data pipelines on Azure cloud platform
  • Optimize data warehouse structures for performance and scalability
  • Develop ETL/ELT processes using Azure Data Factory and Databricks
  • Ensure data quality through rigorous validation and monitoring frameworks
  • Create data visualization solutions using Power BI and Azure Analytics
  • Collaborate with stakeholders to translate business requirements into technical solutions
  • Implement security and compliance protocols for sensitive data assets
  • Document data architecture and maintain data dictionaries

Kualifikasi

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 3+ years of experience in data engineering with Azure specialization
  • Proficiency in SQL, Python, and Azure services (Data Factory, Databricks, Synapse)
  • Strong knowledge of data modeling and ETL processes
  • Experience with big data technologies (Spark, Hadoop) and cloud storage solutions
  • Certification in Azure Data Engineer or related cloud platform preferred
  • Excellent problem-solving skills and attention to detail
  • Strong communication abilities for technical and non-technical stakeholders

Keahlian yang Dibutuhkan

Azure Data Engineering Data Factory Databricks SQL Data Warehousing ETL Power BI Spark Python Cloud Architecture

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