Deskripsi Pekerjaan
Are you a high-performing Data Engineer looking to make a significant impact on large-scale digital transformation initiatives? RiDiK, a subsidiary of the Nasdaq-listed CLPS, is seeking a technical specialist to join our dynamic team in Singapore. In this role, you will be instrumental in building and optimizing scalable data solutions for some of the most prominent enterprise projects in the region.
As part of our engineering team, you will bridge the gap between raw data and actionable insights. You will work within a collaborative environment that values innovation, technical rigor, and the delivery of high-quality data products. This position offers a unique vantage point into the infrastructure of global financial services and technology leaders, providing you with the challenges needed to grow your technical expertise.
We are looking for someone who is passionate about data architecture and cloud technologies. If you thrive in fast-paced environments and enjoy solving complex problems involving massive datasets, RiDiK offers the platform and the projects to take your career to the next level. Join us in shaping the future of data-driven decision-making in Singapore's thriving tech ecosystem.
Tanggung Jawab
- Design, build, and maintain robust, scalable data pipelines and ETL/ELT processes using modern data frameworks.
- Architect and optimize data storage solutions to ensure high performance and reliability for enterprise applications.
- Collaborate with Data Scientists and Business Analysts to transform raw data into structured formats suitable for advanced analytics.
- Implement automated data quality checks and monitoring systems to ensure the integrity and consistency of data assets.
- Liaise with cross-functional teams to integrate disparate data sources into a unified data ecosystem.
- Monitor pipeline performance and troubleshoot complex issues in real-time to minimize data latency.
- Continuously evaluate and adopt emerging data engineering tools and methodologies to improve team efficiency.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
- At least 3-5 years of professional experience in a Data Engineering or similar technical role.
- Strong proficiency in programming languages such as Python, Scala, or Java for data processing.
- Extensive experience with SQL and deep knowledge of relational and NoSQL database management systems.
- Hands-on experience with Big Data technologies including Apache Spark, Hadoop, or Kafka.
- Proven track record working with major cloud providers, specifically AWS, Azure, or Google Cloud Platform (GCP).
- Solid understanding of data warehousing concepts, data modeling, and cloud-based data architecture.
- Excellent communication skills and the ability to work effectively in an agile development environment.