Building Scalable Data Systems

24 hours ago

Singapore beBeeDataEngineer Full time $90,000 - $120,000
Big Data Engineer

We are seeking a highly skilled Big Data Engineer to join our team. As a key member of our engineering group, you will be responsible for designing, developing, and maintaining large-scale data processing systems.

Key Responsibilities:
• Operate Global Data Platform components (VM Servers, Kubernetes, Kafka) and applications (Apache stack, Collibra, Dataiku, and similar).
• Implement automation of infrastructure, security components, and CI/CD for optimal execution of data pipelines (ELT/ETL).
• Develop solutions to build resiliency in data pipelines with platform health checks, monitoring, and alerting to improve quality, timeliness, recency, and accuracy of data delivery.
• Apply DevSecOps and Agile approaches to deliver holistic and integrated solutions in iterative increments.
• Collaborate with enterprise security, digital engineering, and cloud operations to gain consensus on architecture solution frameworks.
• Review system issues, incidents, and alerts to identify root causes and continuously implement features to improve platform performance.
• Stay current on the latest industry developments and technology trends to effectively lead and design new features and capabilities.

Qualifications:
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• At least 5 years of experience in big data engineering, with a focus on cloud-based infrastructure.

Strong Proficiency In:
• DevOps tools like Jenkins, GitLab CI/CD, or similar.
• Containerization using Docker and Kubernetes.
• Apache Spark and big data processing.
• Real-time data integration using Apache Kafka.
• Distributed SQL engines like Presto and Trino.
• Data science platforms like Dataiku.
• Cloud-based object storage solutions like Amazon S3.
• Ansible Playbooks to automate infrastructure provisioning, configuration, and deployment.
• Terraform to manage and provision cloud infrastructure resources.
• Experience with programming languages like Python.
• Experience with cloud migration, including assessment, planning, execution, and validation.
• Experience with disaster recovery setup, including backup and restore processes, replication, and failover mechanisms.

What We Offer:
• Opportunity to work with a global company that offers Software and Digital Engineering solutions.
• A collaborative and dynamic work environment.
• Professional growth and development opportunities.
• Recognition and rewards for outstanding performance.

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