Data Engineer: Spark, Hadoop & Quantexa on OpenShift

Synechron Technologies Singapore PTE Ltd._SINGAPORE Company; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Synechron Technologies Singapore PTE Ltd. seeks an experienced Data Engineer to design and optimize big data solutions using Hadoop, Spark, Scala, and Elasticsearch.

You will build scalable data pipelines, integrate Spark with Elasticsearch, and contribute to compliant, governance‑driven data platforms. The role requires hands‑on experience with Quantexa, OpenShift Container Platform, and DevOps practices, plus collaboration with cross‑functional teams to deliver reliable data processing at

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• At least 2 years’ IT experience, preferably in a Compliance Domain of a Finance Institution.

Responsibilities

• Implement data transformation, aggregation, and enrichment processes for analytics and ML initiatives.
• Design, develop, and optimize Spark Scala applications and data pipelines.
• Integrate Elasticsearch with Spark for indexing, querying, and retrieval of data.
• Collaborate with cross-functional teams to translate data requirements into data engineering solutions.
• Ensure data quality, governance, and compliance across data pipelines.

Skills

Hadoop

Spark

Scala

Elasticsearch

OCP/OpenShift

DevOps

Quantexa

Python/Java

Data Modeling

CI/CD

Education

Bachelor's or Master's in CS/Software Eng

Tools

Quantexa

OpenShift Kubernetes

Docker

Jenkins/Bitbucket

Job description

Synechron Technologies Singapore PTE Ltd. seeks an experienced Data Engineer to design and optimize big data solutions using Hadoop, Spark, Scala, and Elasticsearch.

You will build scalable data pipelines, integrate Spark with Elasticsearch, and contribute to compliant, governance‑driven data platforms. The role requires hands‑on experience with Quantexa, OpenShift Container Platform, and DevOps practices, plus collaboration with cross‑functional teams to deliver reliable data processing at