About Us:
AIRR LABS is building lasting connections between brands and consumers in Southeast Asia. We provide a full suite of solutions that enable brands to bring their unique stories to life across the online customer journey. We are looking for curious and highly motivated individuals who can seize exciting market opportunities and turn them into impactful brand strategies and execution.
Job Brief
Reporting to the Regional Head of Data & BI, this role requires a hands-on approach to lead a team of data engineers in building and maintaining data pipelines, data warehouses, and analytics platforms - ensuring data accuracy, integrity, and security.
Responsibilities:
- Lead the design, development, and implementation of scalable and efficient data pipelines, databases, and data 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.
- Collaborate with cross-functional teams to gather requirements, assess technological options, and propose architectural solutions.
Requirements:
- Strong technical background in designing scalable and reliable data architecture. Extensive experience in Python, SQL, or other scripting languages is required.
- Solid understanding of relational databases.
- 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.
- 5+ years of experience in data engineering, with at least 3 years in a lead or senior engineering role.
- Bachelor's or higher degrees in Computer Science, Computer Engineering or other relevant degrees.