Job DescriptionsRoles and Responsibilities
-Collaborate with project team members to understand client requirements and deliver best practice data solutions
-Design, develop and maintain data pipelines and ETL processes to manage and ingest data from diverse sources into data warehouses or data lakes
-Design and implement data models and schemas to optimize storage, retrieval and analysis of both structured and unstructured data
-Create algorithms and scripts for data cleaning, normalization and transformation to ensure data accuracy, consistency and quality
-Implement data validation and quality assurance procedures to identify, mitigate and solve data issues in data zones
-Manage and optimize cloud-based infrastructure for data storage and processing including real-time, deep learning and generative AI modeling
-Stay updated with emerging technology as well as evaluate and recommend tools, framework and technology to enhance data processing capability and efficiency