Requirements
· Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
· At least 10 years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.
· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)
· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
· Experience with Grafana, Prometheus, Splunk will be an added benefit
· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.
· Excellent collaboration and communication skills to work effectively with cross-functional teams.
· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.
· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.
Key Skills
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- Posted
- Jan 23, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- Singapore
- Company
- HTC Global Services
Industries
Categories
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