Data/ML EngineerJohannesburg, GautengHybridContractData/ML engineeringData/ML Engineer Position: Data/ML EngineerLocation: Johannesburg, GautengType: ContractAbout Our Client: Our Client is a leading player in the insurance industry, committed to innovation and excellence. They are seeking a highly skilled Data/ML Engineer to join their dynamic team. This role offers the opportunity to work on cutting-edge projects and make a significant impact on their data processing and machine learning initiatives.Key Responsibilities:Design, implement, and maintain robust data and content processing pipelines.Develop and optimize data wrangling processes and sharding designs.Build and deploy microservices to support various data and machine learning applications.Design and implement table structures, schemas, and operational models.Work with unstructured data and document processing to extract valuable insights.Collaborate with cross-functional teams to gather requirements and deliver solutions that meet business needs.Continuously improve and monitor the performance of data processing systems.Utilize technologies such as Kafka, Docker, and Kubernetes to enhance data processing and application deployment.Required Skills and Experience:Strong proficiency in Python.Strong proficiency in SQL.Experience with Java and/or Spark is preferred but not crucial.Experience working with unstructured data and document processing.Proven experience in building data and content processing pipelines.Familiarity with data wrangling, sharding design, and microservices architecture.Experience in designing table structures and schemas.Experience in designing and implementing operational models.Familiarity with Kafka, Docker, and Kubernetes.Qualifications:Bachelor’s degree in Computer Science, Engineering, or a related field.At least 4 years of experience in data engineering, machine learning engineering, or a related field.Strong problem-solving skills and the ability to work independently as well as part of a team.Excellent communication skills, both written and verbal.What They Offer:Competitive salary and benefits package.Opportunity to work on innovative projects within the insurance industry.Collaborative and supportive work environment.Professional development and career advancement opportunities.How to Apply: Interested candidates are invited to submit their resumes detailing their qualifications and experience.Join us and be a part of a team that is transforming the insurance industry through data and machine learning!#J-18808-Ljbffr