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RISKDATA CONSULTING PTE. LTD. is seeking a data engineer with hands-on Python and PySpark experience to support large-scale data processing in a Singapore banking environment.
You will design, develop and maintain ETL pipelines using PySpark, Python and SQL, focusing on data quality, transformation and performance.
Experience with AWS, Azure or Databricks, Agile/Scrum practices and strong stakeholder communication is preferred.
Strong hands-on experience in Python and PySpark development for large-scale data processing.
Design, develop and maintain ETL/data pipelines using PySpark, Python and SQL.
Experience working with Big Data technologies, data transformation and batch processing.
Strong knowledge of SQL, data modelling, performance tuning and optimization.
Experience with cloud/data platforms such as AWS, Azure, Databricks or equivalent is preferred.
Good understanding of data quality, reconciliation, validation and error handling.
Ability to analyse business requirements and translate them into scalable technical solutions.
Experience working in Agile/Scrum environments with strong communication and stakeholder-management skills.
Candidates should be available to work in a Singapore-based banking environment.