**Job Title: Big Data Operations Engineer** **Duration: 1 Year+** **Location: Singapore** **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 Interested Candidates please share resume to [email protected]