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Data Engineer - Global Logistics Company

Data Engineering and Analytics

29 January 2024

Hong Kong

Our client, a leading global logistics company, is embarking on a new initiative to build and enhance their data platform. They are currently seeking a Data Engineer to join their rapidly expanding data team. The successful candidate will enjoy excellent benefits, including a flexible work-from-home policy!


Key Responsibilities:

  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into scalable data solutions.

  • Design and develop robust data pipelines, ETL processes, and data integration frameworks to collect, transform, and store large volumes of structured and unstructured data from various sources.

  • Implement and maintain data warehouses, data lakes, and data marts to support reporting, analytics, and business intelligence initiatives.

  • Identify, assess, and incorporate new tools, technologies, and best practices to drive continuous improvement in data engineering processes.

  • Ensure the integrity, security, and privacy of data by implementing appropriate data governance standards and procedures.

  • Perform data profiling, cleansing, validation, and enrichment activities to optimize the quality and usability of data.

  • Collaborate with infrastructure teams to ensure optimal performance, scalability, and availability of the data infrastructure.

  • Monitor data pipelines, identify performance bottlenecks, and troubleshoot issues to ensure smooth and uninterrupted data flow.

  • Document data engineering processes, data models, and architectural decisions to facilitate knowledge sharing and enable effective collaboration.

  • Stay updated with emerging trends, technologies, and industry practices in the data engineering domain, and provide recommendations for improvements and enhancements.


Qualifications and Skills:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

  • 3+ years of experience as a Data Engineer or in a similar role, preferably within the logistics industry.

  • Strong proficiency in SQL and experience working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark).

  • Proficiency with Python and familiarity with data processing frameworks (e.g., Apache Beam, Apache Flink).

  • Experience with data modeling, data integration, and data warehousing concepts and technologies (e.g., Snowflake, Redshift).

  • Solid understanding of ETL processes, workflow orchestration tools (e.g., Airflow, Luigi), and version control systems (e.g., Git).

  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and working knowledge of containerization technologies (e.g., Docker, Kubernetes).

  • Strong analytical, problem-solving, and critical-thinking skills with a keen attention to detail.

  • Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.

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