Deskripsi Pekerjaan
Are you a passionate Data Engineer looking to make an impact in the retail and sports industry? MST Golf Sdn Bhd is seeking a talented professional to join our dynamic team in Subang Jaya. In this role, you will be the architect behind our data infrastructure, transforming raw information into actionable insights that drive our business growth and enhance our customer experience.
We are looking for someone who thrives on building scalable, robust data pipelines and is eager to explore new technologies. You will collaborate with cross-functional teams to integrate disparate data sources, ensuring data quality, reliability, and accessibility. At MST Golf, we foster a culture of continuous learning, offering excellent opportunities for professional development, wellness benefits, and a flexible work environment to support your work-life balance.
Tanggung Jawab
- Design, develop, and maintain scalable data pipelines to ingest, process, and store large volumes of data.
- Build and optimize data warehouses and data lakes to support business intelligence and analytical needs.
- Ensure high levels of data quality, integrity, and security across all systems.
- Collaborate with stakeholders to identify data requirements and deliver efficient technical solutions.
- Monitor and troubleshoot data integration processes to minimize downtime and latency.
- Perform routine performance tuning to ensure optimal data system throughput.
- Assist in the migration and transformation of legacy data systems into modern cloud-based architectures.
Kualifikasi
- Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related quantitative field.
- Minimum 3+ years of professional experience in data engineering or a similar technical role.
- Strong proficiency in SQL and experience with Python or Scala for data manipulation.
- Hands-on experience with cloud platforms (e.g., AWS, Azure, or Google Cloud) and modern data stack tools.
- Experience with ETL/ELT workflows and orchestration tools like Apache Airflow or similar.
- Solid understanding of database design principles, data modeling, and warehousing concepts.
- Strong analytical problem-solving skills with the ability to translate business requirements into technical specs.