Global Data Engineering Specialist

6 days ago

Singapore beBeeDataEngineer Full time

About the Data Engineer Role

We are seeking a talented individual to join our team as a Data Engineer, working on the Global Data Analytics Platform. This is an excellent opportunity to promote data culture and analytics competency.

Key Responsibilities:

  • Collaborate with global business units to define and deliver data analytics needs on the Global Data Analytics Platform.
  • Integrate and manage new global data sources, ensuring timely delivery of high-quality, reliable data.
  • Implement automated data quality checks and meta-data driven frameworks to govern data engineering processes.
  • Design, build, and maintain data warehouse models, data pipelines, and transformation workflows.
  • Develop and support advanced analytics tools, including data science sandboxes, ML models, generative AI, data marts, catalogues, and lineage.
  • Continuously enhance the analytics platform to stay relevant and future-ready.

Required Skills and Qualifications:

  • Degree from a recognised university, preferably in Data Analytics or Computer Science domain;
  • At least two years hands-on experience as a Data Engineer, including at least one year using Microsoft and/or Databricks data tools;
  • Knowledge of data warehouse concept (Star, snowflake or data vault) methodology and experience in designing data warehouse dimensional modelling;
  • Hands-on experience in Azure Data Factory, Azure Synapse Analytics/Datawarehouse, Azure Analysis Services, Azure Databricks, Azure Fabric and Python;
  • Preferably with relevant certifications from Microsoft, including Azure Data Engineer Associate, and/or Databricks, including Databricks Certified Data Engineer Associate;
  • Preferably with hands-on experience in using Azure OpenAI and/or Azure AI Services;

About Us

We offer a remuneration package that reflects your skills and expertise, and the opportunity to work with a leading company in the shipping industry. Our company has a strong commitment to promoting data culture and analytics competency across the organisation.

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