Model jobs in Singapore
SEO / GEO Lead (Digital Marketing Agency)
MEDIAPLUS DIGITAL PTE. LTD.
Youth Guidance Associate | 2 years contract (0580)
THE SUPREME HR ADVISORY PTE. LTD.
Mathematics Teacher
NORTH LONDON COLLEGIATE SCHOOL (SINGAPORE) PTE. LTD.
Information Technology - Lead Software Engineer (Airline Network Revenue)
SINGAPORE AIRLINES LIMITED
Discover more opportunities than anywhere else. Find more jobs nowResearcher/Senior Researcher (Greenery Planning & Design) (Geospatial Modelling Lab) – Contract
National Parks Board
Youth Work Associate - 2 years contract (0580)
THE SUPREME HR ADVISORY PTE. LTD.
Connect with headhunters to apply for similar jobsPrimary Level Teacher [Math/Science] - Student Care Centre | 5 days! [0580]
THE SUPREME HR ADVISORY PTE. LTD.
SAP Solutions Architect (1 year contract)
CERTIS TECH-OPS AND SERVICES PTE. LTD.
Director, AI Strategy & Development
METAVIVA PTE. LTD.
Dynamics 365 F&O Principal Consultant (Relocate to Malta /Big 4)
Black Pen Recruitment
Dynamics 365 CE Lead Consultant - Hybrid, Relocation
Black Pen Recruitment
Dynamics 365 F&O Consultant 1 (Relocate to Malta/Big 4)
Black Pen Recruitment
Senior Officer / Executive Officer - Risk Management
AGRICULTURAL BANK OF CHINA LIMITED
English Teacher
NORTH LONDON COLLEGIATE SCHOOL (SINGAPORE) PTE. LTD.
Project Analyst - Network (Cluster Office)
SYNAPXE PTE. LTD.
Devops & Data Engineer
Job summary
A data consultancy firm based in Singapore is looking for an ETL & Data Engineer to design and maintain robust data pipelines and backend services. The role involves optimizing ETL processes and integrating with advanced AIOps and ML platforms. Ideal candidates should have strong programming skills in languages such as Python and Go, and experience with cloud data solutions and tools like Airflow and Kafka. This position offers a dynamic environment focused on AI-driven operations.
Qualifications
- Strong experience in ETL and Data Engineering.
- Proficient in building scalable ETL pipelines for real-time data.
- Experienced with cloud computing and data storage solutions.
Responsibilities
- Design, build, and maintain ETL pipelines for batch and real-time ingestion.
- Optimize ETL processes for performance and fault tolerance.
- Integrate with AIOps platforms using APIs.
Skills
ETL & Data Engineer to design, build, and maintain robust data pipelines and backend services that power AI-driven operations. The role involves working with high-volume IT and cloud data, optimizing ETL processes, and integrating with AIOps platforms and ML pipelines.
- Build and maintain scalable ETL pipelines for batch and real-time data ingestion, transformation, and loading from diverse sources (IT infrastructure, cloud, monitoring systems, APIs).
- Implement data validation, cleansing, and normalization for consistent AI model input.
- Develop backend services and APIs to support data ingestion, metadata management, and configuration.
- Optimize ETL jobs for performance, fault tolerance, and low latency.
- Integrate with AIOps platforms and ML pipelines using REST APIs or event-driven architectures.
- Schedule and monitor ETL workflows using tools like Airflow, Prefect, or Dagster.
- Support CI/CD pipelines for deploying ETL services and full-stack applications.
- Programming & Scripting: Python, Go (Golang), Java, Ruby, JavaScript/TypeScript (Next.js)
- ETL & Data Engineering: Apache NiFi, Spark, Airflow, Flink, Kafka, Talend
- Orchestration: Airflow, Prefect, Dagster
- Data Storage & Lakes: PostgreSQL, MongoDB, Elasticsearch, Snowflake, BigQuery, S3, GCS, Azure Blob
- Streaming Platforms: Kafka, Kinesis, Pub/Sub
- Experience with AIOps & Observability tools like Splunk, Dynatrace, AppDynamics, New Relic, Elastic Stack
- Familiarity with ITSM systems (ServiceNow) and CMDB integrations
- Understanding of metrics, logs, and traces for AI-driven operations
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.