Deskripsi Pekerjaan
Join Involve Asia as a Senior Data Engineer to architect and implement cutting-edge data solutions that power our global affiliate marketing platform. In this pivotal role, you'll design, build, and optimize high-performance data systems capable of handling massive-scale data processing while ensuring reliability, scalability, and security. Collaborate with cross-functional teams to transform raw data into actionable insights that drive business growth and innovation. You'll work with state-of-the-art technologies to create robust data pipelines, implement advanced ETL processes, and maintain data integrity across distributed systems.
We're seeking a visionary engineer passionate about solving complex data challenges in a fast-paced environment. You'll have the opportunity to shape our data infrastructure, mentor junior engineers, and contribute to strategic data initiatives that impact millions of users worldwide. If you thrive in dynamic settings and are excited about building scalable data ecosystems that fuel digital transformation, we invite you to bring your expertise to our Kuala Lumpur team.
Tanggung Jawab
- Design and implement scalable data pipelines using cloud-native technologies (AWS/GCP/Azure)
- Develop and maintain ETL/ELT processes for large-volume data ingestion and transformation
- Optimize data storage solutions including data warehouses and data lakes
- Ensure data quality, governance, and security across all data systems
- Collaborate with data scientists to provide clean, structured datasets for analytics
- Monitor and troubleshoot data infrastructure performance issues
- Lead technical documentation and best practice implementation
- Mentor junior engineers and conduct code reviews
Kualifikasi
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience in data engineering or similar roles
- Expertise in SQL, Python, and at least one modern programming language
- Strong experience with cloud data platforms (BigQuery, Redshift, Snowflake)
- Proficiency in big data technologies (Spark, Hadoop, Kafka)
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines
- Experience with data modeling and database design principles
- Strong problem-solving skills and ability to work in agile environments