jobs in AMK Technology Sdn Bhd

Sepenuh Masa Data Engineer Lead Jobs, in AMK Technology Sdn Bhd Kuala Lumpur - Maukerja

Undisclosed

KL City, Federal Territory

Kongsi
Simpan

Lokasi Kerja

  • Kuala Lumpur Federal Territory Malaysia

Penerangan Kerja

Tanggungjawab

Data Engineer Lead (Data Analytics, Data Warehouse & Big Data)

We are seeking a highly skilled Data Engineer Lead to architect, design, and deliver enterprise-scale data solutions across Data Analytics, Data Warehousing, Data Lake, and Big Data environments. This role will lead technical delivery while also guiding a team of engineers in building scalable, high-performance data platforms.

Key Responsibilities
  • Lead the architecture, design, and implementation of complex data solutions across Data Analytics, Data Warehouse, Data Lake, and Big Data platforms
  • Design and govern end-to-end data models (Conceptual, Logical, and Physical) ensuring scalability, performance, and data integrity
  • Mentor and guide a team of data engineers, ensuring adherence to coding standards and engineering best practices
  • Translate business requirements into technical designs and long-term data architecture roadmaps
  • Oversee end-to-end project delivery, including planning, execution, resource management, timelines, and deliverables
  • Define and enforce data governance frameworks, data modeling standards, and development best practices
  • Act as the escalation point for critical technical issues and client-facing discussions
  • Drive innovation, R&D, and upskilling initiatives to keep the team aligned with emerging data engineering technologies
Requirements
  • Bachelor’s Degree or Diploma in Computer Science, Information Technology, or related field
  • 7–8+ years of experience in Data Engineering / Data Analytics / Data Warehouse / Big Data
  • At least 2 years of technical leadership or team management experience
  • Strong expertise in Data Modeling techniques (Dimensional Modeling/Kimball, Star & Snowflake Schemas, Data Vault, 3NF)
  • Expert-level SQL and Python skills
  • Good proficiency in Java or Scala is highly preferred
  • Proven experience delivering enterprise-scale data platforms and architectures
  • Strong experience in performance tuning and optimizing data models for database systems
  • Solid understanding of ETL/ELT pipelines and workflows
  • Experience with cloud data platforms such as Snowflake, AWS, Azure, or Google Cloud
  • Familiarity with Linux/Unix environments and containerization (Docker/Kubernetes) is an advantage
  • Experience in Data Governance, Data Quality, or Master Data Management is a plus
  • Strong leadership skills with ability to manage teams, delegate tasks, and mentor engineers
  • Excellent communication skills with ability to engage stakeholders and senior leadership


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