Data Engineer (Data & Systems Engineering)

Team: Data Engineering

Location: Singapore, Singapore

Commitment: Full-time

Workplace Type: onsite

Key Responsibilities

• Develop and maintain robust data pipelines for extracting, transforming, and loading data from diverse sources.
• Identify, design, and implement process improvements, including automation of manual processes, optimization of data delivery, and design of scalable infrastructure.
• Gather and analyze telemetry data to provide actionable insights, enhancing the efficiency of data systems and key business performance metrics.

Minimum Requirements

• Background in Computer Science, Computer Engineering, Information Systems, or a related field.
• A minimum of 2 years of hands-on experience with object-oriented programming languages such as Python, Golang, Java, or C++. (Project/internship experience will be considered for recent graduates.)
• Proficiency with both relational SQL and NoSQL databases.
• Experience in building ETL flows using tools such as NiFi or Airflow.
• Familiarity with microservices architecture and RESTful API design.

Preferred Qualifications

• Experience with software development in Agile SCRUM environments, including testing and production error/metrics monitoring.
• Expertise in building scalable, fault-tolerant, and maintainable data pipelines.
• Proficiency in big data tools such as Hadoop, Spark, and Kafka.
• Experience with search engines like Elasticsearch or Solr.

Considerations for senior positions

• Candidates with at least 5 years of proven track record in data engineering development.
• Experience in technical coaching to junior data engineers.