Data Engineer

1 week ago


Hong Kong, Central and Western District, Hong Kong SAR China IGNITE RECRUITMENT HONG KONG LIMITED Full time

The Role

  • Implementing Back-end cloud-based data lake/ data warehouse with best practices
  • Working closely with the development team to build and deliver back-end data pipelining components following industry best-practices and in adherence with architectural principles
  • Design, develop, and maintain scalable and efficient ETL/ELT data pipelines from various internal and external data sources
  • Identify and gather business requirements to design data models to ensure data quality, integrity and performance
  • Conduct thorough testing and validation of data pipelines to ensure accuracy, reliability, and data consistency
  • High-Quality Analytics Solutions
  • Collaborate closely with data scientists and analysts, to understand needs and develop solutions that meet those requirements
  • Troubleshoot and resolve data-related issues, perform root cause analysis, and implement preventive measures
  • Create clear documentation for architectures, data dictionary, data mapping, and any other relevant technical information
  • Stay up to date with emerging technologies, tools, and best practices in the field of data engineering and apply them to improve existing processes and systems
  • Working collaboratively with the rest of the IT team members – based onshore and offshore – to ensure that solutions delivered are high-quality and easy-to-support
  • Communicating clearly and concisely across all levels – facilitating design decisions with other IT stakeholders in simple terms

We are looking for :

  • 3+ years' experience in a Data Engineering role using SQL and Python
  • Strong understanding in data lake/ data warehouse design best practices and principles
  • Practical hands-on experience in cloud-based data services for ETL, e.g. AWS, EMR, Airflow, Redshift, Glue
  • Deployment experience and management of MLOps framework, e.g. AWS SageMaker, ECR
  • Experience in distributed computing system, such as Spark, Hive, Hadoop
  • Experience with Databases such as Postgres, MySQL, Oracle
  • Strong communication skills in English – both in speaking and writing

Experience in other cloud platform and hybrid cloud infrastructure, e.g. GCP, Azure
Understanding in Machine Learning / Deep Learning
Proficient in real-time, near real-time data streaming, e.g. Kafka, Spark Streaming, Pub/Sub



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