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Data Engineer - Credit Risk Domain

Data Engineer - Credit Risk Domain

SPECTRUM AV TECHNO CONSULTANTSBangalore
30+ days ago
Job description

We are looking for a talented Data Engineer with expertise in SAS and Google Cloud Platform (GCP) to join our team. The ideal candidate will have a strong background in the Credit Risk domain and will be responsible for designing, building, and optimising data pipelines and architectures to support credit risk analysis and reporting.

Key Responsibilities :

  • Data Pipeline Development : Design, develop, and maintain data pipelines using SAS and GCP to ensure efficient data processing and integration.
  • Data Architecture : Build and optimise data architectures to support credit risk analysis and reporting.
  • Data Management : Manage and manipulate large datasets to support credit risk modelling and analysis.
  • Collaboration : Work closely with data scientists, analysts, and other stakeholders to gather requirements and provide data solutions.
  • Performance Optimisation : Optimise data processing performance to ensure timely and accurate reporting.
  • Compliance : Ensure all data processes comply with regulatory standards and guidelines.
  • Documentation : Maintain comprehensive documentation of data processes and methodologies.

Required Skills and Qualifications :

  • Technical Skills : Proficiency in SAS and Google Cloud Platform (GCP) is essential.
  • Domain Knowledge : Strong understanding of the Credit Risk domain.
  • Data Engineering : Experience in designing and building data pipelines and architectures.
  • Analytical Skills : Excellent analytical and problem-solving skills with the ability to perform complex data analysis.
  • Attention to Detail : High level of accuracy and attention to detail in data processing and analysis.
  • Communication Skills : Strong verbal and written communication skills to effectively convey findings and recommendations.
  • Experience : Previous experience in data engineering or a related field is preferred.

    • Education :

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Advanced degrees or certifications in Data Engineering or related areas are a plus.

    • ref : hirist.tech)

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    Data Engineer • Bangalore