
Data Engineer
1 week ago
Our team is looking for a skilled Data Engineer to join our Global Data Analytics Platform. This is an exciting opportunity to work with data and analytics to drive business growth.
Key Responsibilities:- Collaborate with global business units to define and deliver data analytics needs on our 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.
- Degree from a recognized 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;
- Relevant certifications from Microsoft, including Azure Data Engineer Associate and/or Databricks, including Databricks Certified Data Engineer Associate;
- Experience in using Azure OpenAI and/or Azure AI Services;
- Good remuneration package;
- Great opportunity to promote data culture and data analytics competency;
- Excellent career development opportunities;
- A dynamic and supportive work environment;
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