Data Engineer: Scale Etl Pipelines For Analytics
Summary
AI Data Engineer who designs, builds, and maintains scalable ETL pipelines and data infrastructure (warehousing, big-data platforms) powering a client's machine-learning and analytics initiatives. Works closely with data scientists and ML engineers to deliver high-quality, accessible data in the Bekasi/Tangerang, Indonesia area.
AI Data Engineer
Our client is seeking a skilled AI Data Engineer to build and manage the data infrastructure that powers their artificial intelligence initiatives in Bekasi . You will be responsible for designing, constructing, and maintaining robust data pipelines, ensuring the availability, quality, and accessibility of data for machine learning models and analytics. This role is crucial for enabling data-driven decision-making and supporting the development of advanced AI applications. You will collaborate closely with data scientists and ML engineers to provide them with the data foundation they need to succeed.
Key Responsibilities
- Design, build, and optimize scalable and reliable data pipelines for AI and machine learning applications.
- Develop processes for data ingestion, transformation, cleaning, and storage using various data technologies.
- Implement data quality checks and monitoring to ensure the integrity and accuracy of data.
- Collaborate with data scientists and ML engineers to understand their data requirements and provide efficient access.
- Manage and maintain data warehousing solutions and big data platforms.
- Automate data