Data Engineer

3 days ago

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

Unlock the Power of Synthetic Data

About Marketing Management Analytics, Inc.

We are a leading provider of innovative research solutions, leveraging cutting-edge technologies to deliver unparalleled insights. Our team of experts is passionate about harnessing the potential of synthetic data to revolutionize market research.

Job Description

We are seeking a highly skilled Data Engineer to join our Synthetic Data Team. As a key member of this team, you will play a pivotal role in designing, developing, and maintaining the infrastructure necessary to support our synthetic data initiatives.

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.
  • Data Storage Optimization: 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 Integration: 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.
  • Technology Advancement: Explore and implement new data engineering technologies and tools that can enhance the efficiency and capabilities of the synthetic data team.
  • Documentation and Knowledge Sharing: Document data pipeline architectures, processes, and best practices to maintain a knowledge base.

Requirements and Qualifications

To be successful in this role, you will require:

  • Data Engineering Expertise: A solid foundation in data engineering, with experience in building and maintaining scalable data pipelines using technologies like Apache Spark, Kafka, SQL, and NoSQL databases.
  • Programming Skills: Proficiency in programming languages such as Python, Java, or Scala, and experience with ETL frameworks and data workflow orchestration tools.
  • Cloud Experience: Hands-on experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and ability to leverage cloud-based data storage and processing solutions.
  • Containerization and Orchestration: Familiarity with containerisation and orchestration technologies like Docker and Kubernetes, and ability to deploy and manage data infrastructure in cloud environments.
  • Data Quality Commitment: A strong commitment to data quality, ensuring that all data processes are accurate, consistent, and reliable.
  • Synthetic Data Experience: Experience working with synthetic data generation, AI/ML model deployment, or similar projects, and enthusiasm for the unique challenges and opportunities in this area.
  • Privacy-Preserving Technologies: Familiarity with privacy-preserving technologies and understanding of the ethical considerations related to synthetic data.
  • Communication Skills: Effective communication skills to clearly articulate complex concepts and findings to both technical and non-technical stakeholders.
  • Passion for Innovation: Passion for pushing the boundaries of data science and a strong desire to revolutionize market research through synthetic data.

Benefits

We offer a competitive compensation package, including:

  • Career Development Opportunities: Opportunities for growth and professional development.
  • Benefits Package: An exceptional benefits package, including generous annual leave/paid time off, healthcare plans, wellness benefits.
  • Flexible Workplace Policy: Flexible workplace policy to support work-life balance.
  • Strong Collaborative Culture: A collaborative culture that values diversity, inclusion, and innovation.

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