Big Data Platform Engineer
7 days ago
Big Data Platform Engineer
- 6 years of experience in building or designing large-scale, fault-tolerant, distributed systems, (for example: data lakes, delta lakes, data meshes, data lake houses, data platforms, data streaming solutions…)
- In-depth knowledge and experience in one or more large scale distributed technologies including but not limited to: Hadoop ecosystem, Kafka, Kubernetes, Spark
- Migration experience of storage technologies (e.g. HDFS to S3 Object Storage)
- Integration of streaming and file based data ingestion /consumption (Kafka, Control M, AWA)
- Experience in DevOps, data pipeline development, and automation using Jenkins and Octopus (optional: Ansible, Chef, XL Release, and XL Deploy)
- Expert in Python and Java or another static language like Scala/R, Linux/Unix scripting, Jinja templates, puppet scripts, firewall config rules setup
- VM setup and scaling (pods), K8S scaling, managing Docker with Harbor, pushing Images through CI/CD
- Experience using data formats such as Apache Parquet, ORC or Avro Experience in machine learning algorithms is a plus.
- Hands-on experience in integrating Data Science Workbench platforms (e.g. Dataiku)
- Cloud migration experience
- Experience of agile project management and methods (e.g., Scrum, SAFe)
- Knowledge of financial sector and its products is beneficial
Responsibilities:
- Operating Global Data Platform components (VM Servers, Kubernetes, Kafka) and applications (Apache stack, Collibra, Dataiku and similar).
- Implement automation of infrastructure, security components, and Continuous Integration & Continuous Delivery for optimal execution of data pipelines (ELT/ETL).
- Develop solutions to build resiliency in data pipelines with platform health checks, monitoring, and alerting mechanisms, quality, timeliness, recency, and accuracy of data delivery are improved
- Apply DevSecOps & Agile approaches to deliver the holistic and integrated solution in iterative increments.
- Liaison and 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.
- Be current on the latest industry developments and technology trends to effectively lead and design new features/capabilities.
Thanks, and Best Regards
Karanam Vijaya Kiran
(EA Registration no: R1443178)
Recruitment Manager
Hand Phone: +65 92333815
Helius Technologies Pte Ltd (EA Licence No: 11C3373)
Tell employers what skills you havePuppet
Kubernetes
Big Data
DevOps
Pipelines
Cloud Migration
Hadoop
VM
Agile
Scripting
HDFS
Distributed Systems
Python
Continuous Integration
Docker
Data Science
Ansible
Java
S3
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