Data Engineer - Spark/Scala, Elasticsearch, Quantexa-Cert

Synechron; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

Synechron is seeking a Data Engineer with expertise in Hadoop, Spark, Scala, Elasticsearch, and OpenShift to design and optimize big data solutions. You will collaborate with cross‑functional teams to build scalable data processing pipelines and search applications, with an emphasis on data governance and compliance in a finance context.

Experience with Quantexa software is a must, and DevOps practices including CI/CD will be leveraged to deliver robust data infrastructure.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Proficiency with Hadoop, Spark, Scala, Elasticsearch, OpenShift, and Quantexa is required.

Responsibilities

• Design and implement data transformation, aggregation, and enrichment pipelines.
• Develop Spark Scala applications and data processing workflows.
• Integrate Elasticsearch with Spark for indexing, search, and retrieval.
• Tune Spark jobs for performance and scalability; ensure data quality.

Skills

Hadoop

Spark

Scala

Elasticsearch

OpenShift

DevOps

Education

Bachelor’s or Master’s degree in CS/Software Eng

Tools

Quantexa

Job description

Synechron is seeking a Data Engineer with expertise in Hadoop, Spark, Scala, Elasticsearch, and OpenShift to design and optimize big data solutions. You will collaborate with cross‑functional teams to build scalable data processing pipelines and search applications, with an emphasis on data governance and compliance in a finance context.

Experience with Quantexa software is a must, and DevOps practices including CI/CD will be leveraged to deliver robust data infrastructure.