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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Senior / Mid-Level Data Engineer (Streaming)

PIXELATE EVERYTHING
Bandar Puteri Puchong, Selangor
Estimasi Gaji
MYR 6.000 – MYR 9.000
Live Update
11 Juli 2026
Batas Akhir
11 Jul 2027

Deskripsi Pekerjaan

Are you a hands-on engineer who prefers shipping high-impact data pipelines over drafting endless strategy decks? PIXELATE EVERYTHING is looking for a driven Data Engineer to join our team in Bandar Puteri Puchong. In this role, you will be the backbone of our data infrastructure, focusing on real-time streaming architectures that power our decision-making capabilities.

We value autonomy, technical craftsmanship, and the ability to solve complex problems at scale. You won't just be maintaining legacy systems; you will be building, optimizing, and deploying high-velocity pipelines that directly impact our product performance. If you are passionate about data engineering best practices and want to work in an environment where your code makes a tangible difference, we want to talk to you.

Tanggung Jawab

  • Design, build, and maintain robust real-time data streaming pipelines.
  • Collaborate with cross-functional teams to integrate disparate data sources into a unified data lake.
  • Optimize existing ETL/ELT processes for performance, scalability, and reliability.
  • Ensure data quality and integrity across the entire ingestion and transformation lifecycle.
  • Proactively identify and resolve bottlenecks in data processing workflows.
  • Document technical specifications and maintain clear architecture diagrams.
  • Mentor junior team members on coding standards and distributed systems concepts.

Kualifikasi

  • Bachelor’s degree in Computer Science, Data Engineering, or a related technical field.
  • Proven experience (3+ years) in building and managing streaming data pipelines using technologies like Apache Kafka, Flink, or Spark Streaming.
  • Strong proficiency in Python, Scala, or Java.
  • Solid understanding of SQL and NoSQL database systems (e.g., PostgreSQL, MongoDB, Cassandra).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker/Kubernetes.
  • Familiarity with CI/CD practices and version control (Git).
  • Exceptional problem-solving skills and the ability to thrive in an autonomous, fast-paced environment.

Keahlian yang Dibutuhkan

Data Engineering Apache Kafka Apache Spark Python SQL Cloud Computing Streaming Architecture ETL Data Pipeline Distributed Systems

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