Lead Specialist, Data Engineer

TNG Digital Sdn Bhd; Kuala Lumpur; Presencial; MYR 180 000 - 260 000; Tempo integral

Resumo da oferta

TNG Digital Sdn Bhd in Kuala Lumpur, Malaysia seeks a Lead Specialist, Data Engineer to head a data engineering team and steer the architecture of large-scale data pipelines.

You will champion data literacy, set up robust monitoring and SLAs, and drive governance and compliance while transitioning projects into BAU with solid SOPs.

Qualificações

• 7+ years of data engineering or software engineering experience.
• Expert data modelling and dimensional design for analytics.
• Proven ETL/ELT design and implementation at scale.
• Deep cloud experience (AWS/GCP/Azure) and DevOps practices.

Responsabilidades

• Lead and mentor a high-performing data engineering team.
• Architect data pipelines and scalable data architectures.
• Foster data literacy and enable self-service data tools.
• Define monitoring, SLAs, and recovery strategies.
• Enforce data governance, privacy, and compliance.
• Develop BAU SOPs for seamless operational handovers.

Conhecimentos

Data engineering

SQL tuning

Data modelling (Dimensional/Kimball)

ETL/ELT architectures

Cloud architecture

DevOps/CI-CD

Python/Java/Scala

Agile/Scrum/Kanban

Descrição da oferta de emprego

# Lead Specialist, *Data Engineer*Kuala Lumpur, MalaysiaPermanent#### Duties & Responsibilities* Team Leadership: Lead and mentor a high-performing team of data engineers. You will provide technical direction, facilitate code reviews, and foster a culture of collaboration and continuous improvement to ensure the team delivers high-quality solutions.* Architect Data Pipelines: Lead the design and maintenance of optimal data pipeline architecture. You will move beyond writing ETL jobs to defining the patterns and frameworks that allow us to process petabyte-scale datasets efficiently.* Data Literacy & Enablement: Champion the democratization of data. You will drive the adoption of self-service tools, create comprehensive documentation, and conduct training sessions to bridge the technical gap between engineering and business users.* Reliability Engineering: Define and enforce Service Level Agreements (SLAs). You will implement robust monitoring, alerting, and self-healing mechanisms to ensure data pipelines meet strict uptime requirements.* Governance & Compliance: Automate data retention, access controls, and PII masking to ensure strict adherence to PDPA and RMIT guidelines within the platform architecture.* Operational Transition (SOPs): Develop comprehensive Business As Usual (BAU) Standard Operating Procedures (SOPs) after project delivery to ensure seamless operational handovers and sustainable system maintenance.#### Requirements* Experience: 7+ years of experience in Data Engineering or Software Engineering, with specific expertise in relational databases and SQL tuning.* Data Modelling: Expert-level knowledge of data modelling principles (Dimensional/Kimball, Star Schema) to design efficient data structures for analytics and reporting.* ETL Architecture: Proven track record in designing and implementing complex ETL/ELT workflows that process large-volume datasets (structured and unstructured).* Cloud Architecture: Deep experience in architecting software solutions on major cloud providers (AWS, GCP, or Azure).* DevOps Culture: Strong understanding of DevOps methodologies, CI/CD pipelines, and Agile ways of working (Scrum/Kanban).* Software Engineering Fundamentals: Strong analytic skills and a \"software-first\" approach to data problems. You are comfortable treating infrastructure as code.* Language Proficiency: Expert proficiency in at least one major language: Python, Java, Scala, or JavaScript/TypeScript.