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Unison Group New Zealand

Data Engineer - Banking

Unison Group New Zealand
Singapore
6-8 Years
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Job Description

  • Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
  • Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
  • Ensure data quality and integrity throughout the data processing lifecycle
  • Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
  • Optimize data engineering workflows for containerized deployment and efficient resource utilization
  • Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
  • Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
  • Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
  • Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
  • Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
  • Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field
  • At least 6 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, Pig, 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 jobs schedulers like Control-m
  • Experience with Graphana, Prometheus, Splunk will be an added benefit
  • Quantexa exposure and/or certification a strong plus
  • Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenge

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Data Engineering
Employment Type:
Full time

Job ID: 145289983

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Last Updated: 24-05-2026 06:55:04 PM
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