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Banking Data Engineer (ETL/Bigdata)

Unison Group New Zealand
4-6 Years
Singapore
Early Applicant
  • Posted 15 hours ago
  • Be among the first 10 applicants

Job Description

  • Design, develop, and maintain scalable ETL/data integration pipelines to ingest and transform data from multiple sources
  • Build and optimize data processing solutions using Python, SQL, and Big Data technologies such as Hadoop and Spark
  • Ensure data quality, integrity, and consistency across the entire ETL lifecycle
  • Develop data integration processes to consolidate structured and unstructured data from diverse banking systems
  • Optimize ETL jobs and database queries for performance, scalability, and reliability
  • Implement and maintain data models aligned with business and reporting requirements
  • Collaborate with business stakeholders, data analysts, and application teams to understand data requirements and deliver efficient data solutions
  • Troubleshoot production issues and provide ongoing support for data pipelines and integration processes
  • Follow data governance, security, and compliance standards within the banking environment

Requirements

  • 4+ years of experience as a Data Engineer, preferably in the banking or financial services industry
  • Strong hands-on experience with Data Integration and ETL development
  • Proficiency in Python and SQL for data processing and automation
  • Experience with Big Data technologies such as Hadoop, Spark, or similar frameworks
  • Good understanding of data modelling principles and best practices
  • Experience working with large-scale datasets and distributed data processing
  • Strong analytical, problem-solving, and debugging skills
  • Excellent communication and stakeholder management skills

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Banking Or Financial Services
Employment Type:
Full time

Job ID: 151495371

Last Updated: 23-07-2026 06:45:41 PM
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