Job Description

About The Role

A new opportunity has been created for a Data Engineer to join our Commercial Digital team. Our Commercial Digital team is streamlining and guiding how we invest in and harness technology for Commercial. This team is modernizing and digitizing our manual processes, addressing pain points for employees and focus on initiatives for improving customer experiences and in order to do so, we use proven and emerging technologies as required. Being part of the Commercial Digital team is a unique opportunity to bring digital closer to the business, to create more synergies between teams and bring together business improvements to achieve business excellence.
This role is integral to helping deliver the reliable data and right tools that solve business problems and provide insights for different business units to make improved decisions. In this role you will use your data engineering knowledge to support and improve the existing analytical models and data repositories. In addition, you will be vital to ensuring that new models, pipelines etc are set up in a sustainable, best-practice way.
Your main focus\'s will include but not limited to:

• Development of end-to-end automated data pipelines in Azure cloud environments
• Advising on data architecture, data models, data migration, integration and pipelines, and data analysis and visualisation
• Implementing solutions for the establishment of data management capabilities including data models and structures, database and data storage infrastructure, master and metadata management, data quality, data integration, data warehousing, data transformation, data analysis, and data governance
• Developing platforms and processes that support self-service data analysis

About You
You will be joining a diverse, welcoming team that has a clear purpose, clear goals and values people who are not afraid to try new ways of doing things. Your level of education isn\'t important, but your passion for data engineering is.
In order to thrive in this role, it is essential that you can demonstrate:

• Hands-on experience working with cloud Azure Synapse
• Hands-on experience in writing production ready Python/PySpark
• Experience with architecting, building and deploying data engineering pipelines into production.
• Proficient in a source code control system such as GIT/Azure DevOps
• A mindset of learning through practical experience and persevering through failures
• Ability to build relationships with both colleagues and end-users of systems and tools
• The skill of being able to articulate complex or technical information to less technical audiences
• A genuine interest in progressing your career in the field of data engineering

We regret to inform that only shortlisted candidates will be notified / contacted.

For more information you can email Michelle Hoang in their Singapore office on Michelle.Hoang@teksystems.com quoting Job Reference Michelle 539496 or alternatively, apply here to register your interest.
http://jobs.en-sg.teksystems.com/FQZD0d/data-engineer-itcommunications-singapore-16298482
Job Reference: Michelle 539658
EA Registration No.: R1328380, Hoang Tra My
Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

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