Senior Data Engineer

Johannesburg, Gauteng, South Africa

Job Description


We are looking for a highly skilled professional to lead and drive our client's data quality, engineering, and operations projects. Your expertise will be pivotal in enhancing their credit and fraud risk frameworks through cutting-edge data management, modelling, and integration techniques.Responsibilities:

  • Data Quality and Data Management:
  • Ensure the integrity, accuracy, and consistency of data across the organization.
  • Develop and implement data quality frameworks and processes.
  • Perform regular data audits and remediation activities.
  • Data Modeling and Integration:
  • Design and maintain robust data models to support various business needs.
  • Integrate data from diverse sources, ensuring seamless data flow and accessibility.
  • Optimize data architecture for performance and scalability.
  • Cloud and Data Virtualization:
  • Leverage cloud platforms for efficient data storage, processing, and analysis.
  • Implement data virtualization solutions to enhance data accessibility and real-time analytics.
  • Ensure data security and compliance with regulatory standards.
  • Collaboration and Team Dynamics:
  • Collaborate with cross-functional teams to understand and address data requirements.
  • Mentor junior team members and promote knowledge-sharing within the team.
  • Foster a culture of innovation, continuous improvement, and collaboration.
Education:
  • Bachelor's Degree in Information Technology / Business Commerce / or related field
  • Certification(s) in MS SQL / Data Lake technologies and databases / Cloud-related data engineering tooling
Job Experience and Skills Required:
  • Minimum of 8 years of relevant experience in data engineering, data quality, or related fields
  • Advanced proficiency in SQL, SAS, and Python/Apache Spark
  • Hands-on experience with Power BI, Qlik Sense, and Denodo
  • Proven track record in building and optimizing data pipelines in financial credit and/or fraud risk environments
  • Experience with DataOps and MLOps frameworks
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
  • Excellent problem-solving skills and attention to detail
  • Strong communication and interpersonal skills
Apply now!For more Quantitative and Analytics jobs, please visitIf you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

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Job Detail

  • Job Id
    JD1353933
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Johannesburg, Gauteng, South Africa
  • Education
    Not mentioned