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Kerja Sepenuh Masa, Big Data Operations Engineer di Tech Aalto Pte Ltd - Maukerja

Big Data Operations Engineer

Tech Aalto Pte Ltd

Singapore

Kongsi
Simpan

Lokasi Kerja

  • Singapore

Penerangan Kerja

Tanggungjawab

Singapore (Singapore)


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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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

Peringatan Penting

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