Job Description

The incumbent is responsible for developing, optimizing, and maintaining the data infrastructure on cloud and big data platforms. You will play a key role in enabling data-driven solutions by ensuring high quality, scalable data solutions are in place empowering the data team and other stakeholders.-Develop and maintain scalable data pipelines on cloud platforms e.g. Microsoft Azure and Huawei Cloud.-Design and implement cloud-native solutions for data ingestion, processing, and analytics.-Ensure optimal integration of big data services with existing systems.-Lead the optimization of data systems and pipelines in a cloud environment.-Implement data validation, cleansing, transformation, and storage solutions in cloud and data lake environments.-Build ETL/ELT processes to prepare datasets that empower data analysts and other users.-Design and build data models and datasets that empower data analysts and business teams to perform their own analysis and reporting.-Ensure data availability, quality, and consistency across the organization, supporting self-service analytics.A well remunerated position with strong growth potential|Test and challenge your technical skills in a fast-paced team-Proficient in cloud-based big data services e.g. Microsoft Azure and Huawei Cloud.-Experience in building and managing data solutions in a cloud environment.-Understanding of cloud architecture, data security, and compliance in a healthcare context.-Strong background in Python, SQL, and big data tools like Hadoop, Spark, PySpark, and Delta Lake.-Solid skills in data modeling and analytics in a cloud setting.-Ability to derive insights and solutions from complex data sets.Our client is a local conglomerate that has business ventures in property, healthcare, and many others.A well remunerated position with strong growth potentialTest and challenge your technical skills in a fast-paced team

Michael Page