
Data Protection Platform Operations Engineer
- Kuala Lumpur
- Permanent
- Full-time
- Contribute to the configuration, integration, and ongoing maintenance of enterprise-scale data platforms.
- Support CI/CD pipeline implementation and Infrastructure-as-Code (IaC) adoption to streamline deployments.
- Monitor platform performance and availability, identifying opportunities to improve reliability and scalability.
- Assist with basic security operations such as access control, activity monitoring, and remediation efforts.
- Collaborate on the delivery of data pipelines and platform capabilities across cloud environments.
- Support documentation efforts, testing, and ongoing process improvements across the platform lifecycle.
- Ensure data systems adhere to compliance, governance, and security requirements.
- Bachelor’s degree or equivalent experience in technology, engineering, or a related field.
- 2–4 years of experience in IT, platform engineering, or data engineering roles.
- Familiarity with CI/CD tools and Infrastructure-as-Code technologies such as Terraform, Azure Bicep, or AWS CDK.
- Basic scripting/automation experience with Python, Java, or Scala.
- Exposure to data processing frameworks like Apache Airflow, Spark, or Kafka.
- Experience with cloud platforms (AWS, Azure, or GCP) and understanding of cloud-native data solutions.
- Foundational knowledge of data modeling, data lakes, and both SQL and NoSQL databases.
- Ability to collaborate effectively within cross-functional teams using structured engineering practices.
- Technical experience with Microsoft Azure, AWS, Databricks, and Palantir.
- Understanding of data pipelines, ingestion, transformation, and visualization workflows.
- Awareness of platform security principles and enterprise data governance practices.
- Familiarity with tools such as Power BI, Tableau, or similar for data visualization.
- Experience with distributed systems, supporting both real-time and batch processing.
- Curiosity and adaptability in response to emerging technologies and evolving platform needs.
- Experience operating in highly regulated, compliance-driven environments.
- Familiarity with AI/ML-driven data engineering practices that apply intelligent automation to optimize workflows.