Big Data Operations Engineer
GENERAL DESCRIPTION
We are seeking a passionate Big Data Operations Engineer to join the Global Data Platform team, which serves as the enterprise‑wide single source of truth for reporting and analytics. The platform also provides a common data model and a self‑service data science environment.

KEY FEATURES OF THE POSITION
Functional / Technical Responsibilities

Provide daily support and troubleshooting of data pipelines from ingestion to consumption
Ensure defined thresholds are met for data availability
Actively support release cycles and advocate changes to prevent production disruption
Maintain and model JSON‑based schemas and metadata for reuse across the organization
Perform Data Engineer responsibilities to implement corrective measures (historizing tables, managing dependencies, resolving quality issues, etc.)
Take operational responsibility for Common Data Model tables within a dedicated access zone
Participate in the agile setup and support development teams
Manage the operating model to ensure support levels and task distribution for operational activities (e.g., monitoring service availability and performance) with Level 1 and Level 2 support
Provide Level 3 support (incident & problem management) for the IT service and related data pipelines
Continuously enhance service availability, performance, capacity, and knowledge management

SKILLS REQUIREMENTS
Professional

Higher education in Computer Science (University or equivalent diploma)
Strong communication, planning, and coordination skills
Strong team player with a proactive, collaborative, and customer‑focused approach
Excellent understanding of data technology and operational management
Passion for driving a data‑driven culture and empowering users

Technical

Minimum 5 years of experience in cluster environment operations (Kubernetes, Kafka, Spark, distributed storage such as S3/HDFS)
Strong Python proficiency
Expertise in DataOps processes
Experience with monitoring tools for platform health, ingestion pipelines, and consumer applications
Experience with Linux-based infrastructure including advanced scripting
Expert SQL skills (both traditional DWH and distributed environments)
Experience in maintaining databases, load processes, CI/CD pipelines
Several years of experience in a similar role within a complex data environment
Good to have: experience with Dataiku, Tableau

Personal & Social

Strong English language skills (written and verbal)
High self‑motivation to drive initiatives and improvements
Willingness to contribute new ideas and lead change
Exceptional communication skills to work effectively with technical and business stakeholders
Detail‑oriented with strong multitasking and prioritization abilities

POSITION LEVEL

Associate‑level or equivalent seniority

REPORTING LINE

Functionally reports to the respective Data Platform leadership
Locally reports to regional IT leadership

ADDITIONAL INFORMATION

Division: Technology / Data Platform
Region: Global / Distributed teams
Work Location: Singapore

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