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Unison Group (also known as Unison Consulting) is a technology consulting and services firm that specializes in providing specialized IT staff and systems integration for client projects in the banking and financial services sectors.

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Unison Group
Posted 1mo ago

Data Engineer (Angular, Java, Pyspark and SQL)

Unison Group
unisongroup.comView all open roles
Singapore, Singapore, Singapore
OnsiteFull Time
Responsibilities
  • designing pipelines
  • developing applications
  • troubleshooting issues
Requirements
  • Experience building scalable ETL/ELT pipelines with PySpark/ Spark
  • Java and SQL
  • Strong Python proficiency
  • Familiarity with big data (Hadoop)
  • Data modelling
  • REST APIs, and ensuring data quality and consistency
Technical tools mentioned
PySparkPythonJavaSQLAngularHadoopSparkREST APIsElectronic Medical Records (EMR)

Job description

Design, develop, and maintain scalable data pipelines using PySpark, Java, and SQL.

Build and optimize ETL/ELT workflows for banking data integration and processing.

Develop and enhance banking applications and dashboards using Angular.

Design and consume REST APIs for seamless application and data integration.

Write and optimize complex SQL queries for data extraction, transformation, and reporting.

Ensure data quality, integrity, security, and compliance across banking systems.

Integrate data from Core Banking, Payments, AML/KYC, and other financial applications.

Troubleshoot and resolve production issues related to applications and data pipelines.

Collaborate with cross-functional teams to deliver scalable banking solutions.

Participate in Agile development, code reviews, testing, and production deployments.

Requirements

  • Proven experience as a Data Engineer with a focus on data integration, ETL, and big data technologies.
  • Strong proficiency in Python programming.
  • Ensure data quality and consistency throughout the ETL pipeline.
  • Implement data integration processes to aggregate and consolidate data from various sources.
  • Hands-on experience with big data technologies such as Hadoop, Spark, etc.
  • Familiarity with data modelling concepts and best practices.

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