Big Data Operations Engineer

Tech Aalto Pte ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tech Aalto Pte ltd in Singapore is seeking a passionate Big Data Operations Engineer to join the Global Data Platform team, the enterprise‑wide source of truth for reporting and analytics.

You will manage data pipelines, ensure data availability, support release cycles, and maintain JSON schemas while collaborating with development teams and stakeholders.

This role emphasizes DataOps, Kubernetes, Spark, Kafka, and Python, with a focus on reliability and performance in a complex data environment.

Qualifications

• 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.

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).
• 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 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

Communication

Planning

Coordination

Teamwork

Data technology

DataOps

Python

Monitoring

Linux scripting

SQL

Education

Higher education in Computer Science

Tools

Kubernetes

Kafka

Spark

S3/HDFS

Python

Dataiku

Tableau

Job description

Big Data Operations Engineer

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.