Data Engineering Lead
3 weeks ago
Network Recruitment is seeking a highly skilled Data Engineering Lead to drive our client's data quality, engineering, and operations projects. This role will be pivotal in enhancing their credit and fraud risk frameworks through cutting-edge data management, modeling, and integration techniques.
Key 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.
Requirements
- 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
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