Deskripsi Pekerjaan
Are you a passionate Data Engineer looking to make a significant impact within a prestigious government-linked organization? Maestro Human Resource Pte Ltd is currently seeking 5 dedicated Data Engineers to join our high-performing team. In this pivotal role, you will be instrumental in architecting, developing, and maintaining robust data pipelines that drive strategic decision-making and digital transformation initiatives.
You will work in a collaborative environment where innovation is encouraged, and your technical expertise will directly influence large-scale data infrastructures. We are looking for individuals who thrive on solving complex data challenges and are committed to delivering high-quality, scalable solutions. If you have a strong background in data engineering and a desire to contribute to national-level projects, this is the perfect opportunity to advance your career.
Tanggung Jawab
- Design, build, and maintain scalable data pipelines and ETL processes to support data integration across various platforms.
- Collaborate with cross-functional teams to identify data requirements and implement efficient data models.
- Optimize existing data systems to improve performance, reliability, and data quality.
- Implement and maintain data security standards and governance policies in line with government regulations.
- Automate manual data processes to enhance operational efficiency and reduce technical debt.
- Monitor and troubleshoot data infrastructure issues to ensure high availability and data integrity.
- Provide technical documentation for data architectures and system configurations.
Kualifikasi
- Degree in Computer Science, Data Engineering, Information Technology, or a related field.
- Minimum 2-3 years of proven experience in data engineering or a similar technical role.
- Strong proficiency in programming languages such as Python, Scala, or Java.
- Solid experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
- Hands-on experience with Big Data technologies like Hadoop, Spark, or Kafka.
- Familiarity with cloud-based data services (AWS, Azure, or GCP).
- Strong analytical and problem-solving skills with a keen attention to detail.
- Ability to thrive in a fast-paced environment and manage multiple project priorities.