Your new company

The hiring company is market leader and with sizeable IT Team, and they are looking for data platform engineer to join their Digital team to work closely with data architects and data scientists.

Your new role

• Build data pipelines to support data collection, transformation, quality and integration solutions to facilitate data & analytics solutions
• Participate in platform architecture and technologies design, evaluation (POC) and implementation such as data virtualization and real-time / event driven solutions
• Lead projects and design of Data Platform Applications and Components to ensure that they adhere the overall enterprise design of the Enterprise Data Platform
• Develop and maintain platform monitoring framework to ensure the healthiness of the data platform.
• Develops, implements and maintains automated provisioning templates
• Work with the DevOps engineer to support the consistent operation of data & analytics solutions

What you'll need to succeed

• Bachelor in Computer Science or IT
• With hands-on experience in SQL/PostgreSQL, data and BI solutions with integration to 3rd party tools
• Experience working with
  • Application server software (e.g. ERP), Spark, Scala, Python, SQL scripting languages,
  • Relational databases (e.g. SQL DB/DW),
  • NoSQL platforms (e.g. HBase, MongoDB, Cassandra),
  • Cloud technologies (e.g. Azure or AWS);
  • Experience in real-time data processing (e.g. Kafka),
  • Data virtualization (e.g. Denodo, Tibco) and
  • Platform monitoring (e.g. Datadog)
• Highly experienced with building end-to-end data pipelines using on-premise or cloud-based data platforms
• Hands-on experience with automation tools such as Terraform, Git, SSH, Shell scripting
• Experienced in coding in data management, data warehousing or unstructured data environments
• Experience with Data Lake, Databricks, Synapse analytics, BI Dashboard, and BI implementation projects with AWS or Azure cloud

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role, please contact Wendy Fung at +852 2230 7465 or wendy.fung@hays.com.hk