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Python Pyspark Developer

SingaporeOn-siteContract

AI Summary

Designs, develops and maintains ETL/data pipelines using Python, PySpark and SQL for large-scale data processing, including data transformation, batch processing and data quality validation in a banking environment.

About this role

Job Description:

  • 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.

Skills

Agile/ScrumAWSAzureBig DataDatabricksData ModellingData PipelinesData QualityETLPerformance TuningPySparkPythonSQL

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