Quantexa Data Engineer
Singapore, Singapore, Singapore
SGD 153K-191K (estimate) Senior-level Full Time
Tasks
- Automate application deployments
- Build data pipelines for structured and unstructured data
- Deploy applications on OpenShift
- Design data processing pipelines
- Develop Spark applications
- Develop fault tolerant distributed processing applications
- Develop scalable data engineering solutions
- Ensure data quality and governance
- Implement CI/CD pipelines
- Implement data transformations and enrichment
- Implement monitoring and logging
- Integrate Elasticsearch for indexing and search
- Maintain data lineage and metadata management
- Manage deployments with Kubernetes
- Optimize Elasticsearch queries for performance
- Optimize spark jobs for performance
- Prepare technical documentation
- Support production cutover
- Support system testing and user acceptance testing
- Troubleshoot data processing issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Ansible | Apache Spark | Bitbucket | CI/CD | Cloud platform | Container Platform | Data Processing | Data integration | Dataframes | Datasets | DevOps | Distributed data | Distributed data processing | Docker | Elasticsearch | Git | Google Cloud | Google Cloud Platform | Grafana | HDFS | Hadoop | Hive | Jenkins | Kubernetes | Microsoft Azure | OpenShift Container Platform | Pig | Prometheus | Quantexa | RDD | Scala | Spark | Spark SQL | Splunk
Education
Roles
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