Synthetic Data Engineer

19 hours ago

Kowloon, Kowloon City, Hong Kong SAR China Marketing Management Analytics, Inc. Full time

About the Role

As a Synthetic Data Engineer at Marketing Management Analytics, Inc., you will play a pivotal role in designing and developing the infrastructure necessary to support our synthetic data initiatives.

Key Responsibilities:

  • Data Pipeline Development: Develop and maintain robust, scalable, and efficient data pipelines to process and manage large volumes of data for synthetic data generation.
  • ETL Process Implementation: Implement ETL processes to ensure clean, structured, and well-prepared data is available for analysis and model training.
  • Data Infrastructure Design: Design and deploy data infrastructure and architectures to support the generation and storage of synthetic data, leveraging cloud technologies and big data tools.
  • Optimization and Security: Optimise data storage solutions, ensuring data security, integrity, and accessibility while managing costs and resources efficiently.
  • Collaboration with Data Scientists: Work closely with data scientists to integrate synthetic data models into production environments, ensuring seamless data flow and accessibility.
  • Automation and CI/CD: Implement CI/CD practices to automate the deployment of data pipelines and synthetic data models, ensuring reliability and quick iteration.
  • Troubleshooting and Support: Provide technical support and troubleshooting for data infrastructure, ensuring minimal downtime and efficient resolution of issues.
  • Exploration of New Technologies: Explore and implement new data engineering technologies and tools that can enhance the efficiency and capabilities of the synthetic data team.
  • Documentation and Governance: Document data pipeline architectures, processes, and best practices to maintain a knowledge base. Develop and enforce standards for data management and governance to ensure data quality, security, and compliance.

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