Data Engineering & DevOps Principal

Morgan McKinley Hong Kong

Gepostet vor 26 Tagen Festanstellung Competitive

Core Responsibilities

Pipeline & DataOps: Build and optimize scalable ETL/ELT pipelines and automated CI/CD workflows for data assets, AI integrations, and ERP system updates.
Platform Administration: Oversee the data platform, driving cost efficiency, system reliability, and secure-by-design data governance practices.
Collaboration & Support: Partner with data scientists, vendors, and business units to deliver data solutions; provide BAU support and track platform KPIs.
Innovation: Utilize generative AI tools to accelerate development cycles and share DataOps best practices with the broader team.

Requirements

Education: Degree in Computer Science, IT, Data Science, or related field.
Experience: 10+ years in Data Engineering, DataOps and DevOps (Preferrable in Microsoft Data Stack)
Technical Skills: * Strong expertise in cloud data platforms (ideally Spark/Databricks ecosystems) and unified data governance frameworks.

Proficient in Python, SQL, Shell Scripting, Infrastructure-as-Code, and Git/DevOps automation.
Experience with containerization (Kubernetes/Helm) and AI productivity tools (e.g., Copilot) is a plus.

Soft Skills: Strong ownership, proactive problem-solving, and excellent communication skills for diverse stakeholder groups.

Job ID JN -062026-2004481

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