Data Engineer: Real-Time Data Pipelines & Analytics

Thales; Singapore; Hybrid; SGD 70,000 - 90,000; Full time

Job summary

A global technology leader located in Singapore seeks skilled Data Engineers to design and optimize data pipelines for next-generation Data Warehouse and Data Lakehouse solutions. Candidates need expertise in ETL/ELT processes using tools like Apache Kafka and Spark, and must ensure data quality and regulatory compliance. This position encourages collaboration in a diverse environment while driving technical excellence. A Bachelor's in Computer Science or a related field is essential, with a Master's preferred.

Benefits

Diverse and inclusive work environment

Opportunities for professional growth and learning

Qualifications

• Proficient in data processing algorithm selection balancing latency and throughput.
• Experience implementing ETL & ELT data pipelines with structured or unstructured data.
• Familiar with cloud-native deployment strategies to cloud providers.

Responsibilities

• Integrate data from various sources like APIs and databases.
• Architect and maintain scalable ETL/ELT pipelines for data transformation.
• Ensure compliance with cybersecurity and regulatory requirements.

Skills

Data processing algorithm selection

ETL & ELT data pipelines

Apache Kafka

Apache Spark 3.0

Kubernetes

PostgreSQL

Java 8+

Git-based protocols

Linux command line

OpenTelemetry integration

Good communication skills in English

Education

Bachelor's in Computer Science or Information Technology

Master's degree in Computer Science or Data Science

Tools

Grafana

Prometheus

ElasticSearch

Kibana

Spark Structured Stream

Flink DataStream

Job description

A global technology leader located in Singapore seeks skilled Data Engineers to design and optimize data pipelines for next-generation Data Warehouse and Data Lakehouse solutions. Candidates need expertise in ETL/ELT processes using tools like Apache Kafka and Spark, and must ensure data quality and regulatory compliance. This position encourages collaboration in a diverse environment while driving technical excellence. A Bachelor's in Computer Science or a related field is essential, with a Master's preferred.