- High job stability with an established company
- Lead digital transformation through data engineering
About the company
Our client is a multi-billon dollar company who is a market leader in their industry. As part of their plan to invest in technology, they are now hiring a Azure Data Engineer – Data pipeline to be based here in Singapore.
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About the job
Ensure that high-quality data is readily available in a timely manner to support data-driven management decisions.
Collaborate with various global data sources to supply data to our Azure Cloud-based Global Data Analytics Platform.
Implement automated data quality checks to identify and address low-quality data promptly through data source corrections.
Develop, construct, and maintain Data Warehouse models to meet the data analytics needs of Company's global, regional, and local business units.
Establish and manage data pipelines for the transformation and loading of data from the data lake into Data Warehouse models.
Create and maintain a data science sandbox, machine learning tools, Databricks, data marts, data catalog, data lineage, and more.
Continuously enhance the Global Data Analytics Platform to ensure its relevance and readiness.
Adhere to Company's data analytics policies, standards, and best practices, documenting as necessary.
Co-organize data analytics workshops and seminars to foster a data-centric culture and enhance data analytics proficiency within the company.
Skills and experience required
As a successful applicant, you will have at least 2 years of experience in azure data.
Proven track record in Azure Data Factory, Azure Synapse Analytics/Data Warehouse, Azure Analysis Services and Python will be highly preferred.
Whats on offer
This is an excellent opportunity to join a established company with opportunity to get yourself exposed to latest technology.
To apply online please use the 'apply' function, alternatively you may contact Hoon Teck TAN at https://www.linkedin.com/in/hoonteck-nologyrecruitment. (EA: 94C3609/ R1219669)