Salary Range
SGD 102,000 - SGD 120,000 /year
SGD 8,500 - SGD 10,000/month
Skills Required
ScalabilityKubernetesPipelinesArchitecturalScriptingETLData QualityEC2Workflow ManagementData EngineeringSQLPythonData ArchitectureOrchestrationS3ApacheDatabases
Job Description
About Us
AIRR LABS builds meaningful, lasting connections between brands and consumers across Southeast Asia. We provide a full suite of solutions that enable brands to bring their unique stories to life across the online customer journey. As we scale, data is a core strategic asset. We are looking for a Lead Data Engineer who can design robust data foundations, guide technical decisions, and turn complex data into reliable, scalable platforms that power the business.
Responsibilities
- Lead the design, development, and implementation of scalable and efficient data pipelines, databases, and infrastructure on cloud solutions.
- Implement ETL processes to integrate data from various sources, ensuring data quality, consistency, and integrity.
- Optimize data pipelines, queries, and infrastructure for performance, scalability, and cost-efficiency.
- Own data architecture decisions and provide technical leadership on tooling, frameworks, and best practices.
- Collaborate with cross-functional teams to gather requirements, assess technological options, and propose architectural solutions.
- Support and mentor team members, setting standards for code quality, documentation, and operational excellence.
Requirements
- Bachelor's or higher degrees in Computer Science, Computer Engineering or other relevant degrees.
- 5+ years of experience in data engineering, with at least 3 years in a senior or lead role.
- Strong technical expertise in designing scalable and reliable data architecture. Extensive hands-on experience with Python, SQL, and other scripting languages is a must.
- Proficient in AWS cloud services e.g. EC2, S3 and Lambda
- Proven experience in setting up and maintaining workflow orchestration tools (e.g., Apache Dolphin).
- Familiarity with distributed computing frameworks (e.g., Spark, MapReduce). Understanding of Kubernetes cluster architecture and operations is a must.
- Self-motivated, proactive, and eager to work in a fast-paced environment. Prior experience in the e-commerce industry is a plus.