Quantexa Data Engineer

We are looking for an experienced Data Engineer with strong expertise in Quantexa, Spark/Scala, Hadoop, Elasticsearch, and OpenShift to design and build scalable data pipelines and analytics solutions. You will work with cross-functional teams to deliver high-performance big data and search platforms. Experience in Compliance/AML is a plus.

Key Responsibilities

• Design, develop, and optimize Spark/Scala data pipelines for large-scale structured and unstructured data

• Build and integrate Elasticsearch for efficient indexing and search

• Implement data transformations, aggregations, and enrichment for analytics and ML use cases

• Deploy and manage data solutions on OpenShift/Kubernetes using containerization

• Optimize performance, monitor pipelines, and troubleshoot data quality and processing issues

• Collaborate with DevOps to enable CI/CD and reliable deployments

Requirements

• Bachelor's/Master's in Computer Science or related field

• Quantexa certified Data Engineer/Data Architect with hands-on experience

• Strong experience with Spark, Scala, Hadoop ecosystem, and Elasticsearch

• Experience with OpenShift/Kubernetes, Docker, and CI/CD tools

• Knowledge of DevOps practices and monitoring tools (Grafana, Prometheus, Splunk - plus)

• Strong problem-solving, communication, and teamwork skills

• Cloud platform experience (AWS/Azure/GCP) is a plus