รายละเอียดงาน● 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