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Senior Data Engineer

3 months ago

Johannesburg, South Africa Network Recruitment Full time
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 PowerBI, 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

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