Deskripsi Pekerjaan
Are you a passionate Data Engineer looking to make a significant impact on an organization's digital transformation? Asian Pac Holdings is seeking a talented professional to join our team in Kuala Lumpur. In this role, you will be the backbone of our data-driven strategy, designing, developing, and maintaining the robust data infrastructure that powers our business intelligence and strategic decision-making initiatives.
You will work closely with cross-functional teams to build scalable pipelines, optimize data workflows, and ensure high-quality data availability. We are looking for an analytical thinker who is not only technically proficient but also eager to solve complex data challenges in a fast-paced environment. If you thrive on building clean, efficient architectures and enjoy turning raw data into actionable insights, we want to hear from you.
Tanggung Jawab
- Design, build, and maintain scalable data pipelines and ETL processes to support business requirements.
- Collaborate with data scientists and analysts to optimize data models and query performance.
- Ensure data integrity, quality, and security across all internal data systems and cloud environments.
- Monitor and troubleshoot data infrastructure to minimize downtime and ensure seamless data flow.
- Develop automation scripts to streamline repetitive data management tasks.
- Evaluate and implement emerging data technologies to improve organizational efficiency.
- Document data architecture and maintain comprehensive technical specifications.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, Statistics, or a related field.
- Minimum 2+ years of experience in data engineering, data warehousing, or software engineering.
- Proficiency in SQL and at least one programming language (Python, Scala, or Java).
- Hands-on experience with ETL tools and data pipeline orchestration (e.g., Apache Airflow, dbt).
- Working knowledge of cloud platforms (AWS, GCP, or Azure) and database technologies (PostgreSQL, Snowflake, or BigQuery).
- Understanding of data modeling principles and database schema design.
- Strong analytical problem-solving skills and the ability to work independently or within a team.