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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Data Engineer

Insight Enterprises
Pasig City, Metro Manila
Estimasi Gaji
PHP 150.000 – PHP 250.000
Live Update
27 Mei 2026
Batas Akhir
27 Mei 2027

Deskripsi Pekerjaan

Are you a visionary data professional looking to leverage cutting-edge cloud technologies? Insight Enterprises is seeking a highly skilled Senior Data Engineer to join our dynamic team in Pasig City. In this role, you will be the architect behind our most complex intelligent reporting solutions, driving data-informed decision-making across the enterprise.

As a Senior Data Engineer, you will work at the intersection of big data, cloud architecture, and business intelligence. You will have the opportunity to design, build, and maintain scalable data pipelines that process massive volumes of information, ensuring high availability, performance, and reliability. If you are passionate about building robust data infrastructure and thrive in a collaborative, innovative environment, we want to hear from you.

Tanggung Jawab

  • Design, develop, and maintain high-performance, scalable data pipelines using modern cloud technologies.
  • Collaborate with cross-functional teams to translate business requirements into intelligent reporting solutions.
  • Ensure data quality, integrity, and security across all enterprise data ecosystems.
  • Optimize existing data warehouse structures and implement new storage architectures for improved latency.
  • Mentor junior data engineers and champion best practices in CI/CD, version control, and data modeling.
  • Automate data processing workflows to reduce manual overhead and improve system efficiency.
  • Troubleshoot complex data integration issues and provide root cause analysis for production incidents.

Kualifikasi

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience in data engineering, data warehousing, or software development.
  • Proven expertise in cloud platforms such as AWS, Azure, or Google Cloud (GCP).
  • Strong proficiency in SQL and at least one programming language like Python, Scala, or Java.
  • Experience with big data frameworks (e.g., Spark, Hadoop, Kafka, or Flink).
  • Deep understanding of ETL/ELT processes and data modeling techniques (Star/Snowflake schemas).
  • Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders.

Keahlian yang Dibutuhkan

Data Engineering Cloud Architecture AWS Azure Python SQL ETL Pipelines Data Warehousing Apache Spark Big Data

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