Let's Write Africa's Story Together!Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.Job DescriptionQualifications:Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.10+ years of experience in data engineering with a focus on complex data solutions.Expert proficiency in programming languages such as Python, SQL, and advanced scripting languages.In-depth knowledge of data warehousing concepts, big data technologies, and cloud platforms (e.g., AWS, Azure, Google Cloud).Proven experience in leading and mentoring a team of data engineers.Strong analytical and problem-solving skills with a strategic mindset.Excellent communication and collaboration skills.Preferred Skills:Certifications in relevant data engineering, cloud, or advanced analytics technologies.Experience with real-time data processing and streaming technologies.Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).Familiarity with data security and privacy considerations.Responsibilities:Architectural Leadership: Lead the design and implementation of scalable, high-performance data architectures.Provide strategic input into the evolution of the company's data infrastructure and technology stack.Advanced Data Modelling: Design and implement advanced data models to meet complex business requirements. Optimize data storage and retrieval mechanisms for optimal performance.Big Data and Advanced Analytics: Champion the use of advanced analytics and big data technologies to derive valuable insights.Work on advanced analytics solutions, including machine learning pipelines and predictive modelling.Performance Optimization: Oversee the optimization of data pipelines, databases, and ETL processes for maximum efficiency. Conduct in-depth performance tuning and troubleshooting of complex data workflows.Team Leadership and Mentorship: Lead a team of data engineers, providing technical guidance and mentorship. Foster a culture of continuous learning and collaboration within the data engineering team.Cross-functional Collaboration: Collaborate with data scientists, analysts, software developers, and other stakeholders to understand business needs and deliver comprehensive data solutions.Act as a key liaison between the data engineering team and other business units.Data Governance and Compliance: Establish and enforce data governance policies, ensuring data quality, integrity, and compliance with regulatory requirements.Stay abreast of industry best practices and emerging trends in data governance.Closing Date: 11 December 2024, 23:59
#J-18808-Ljbffr