Randstad Singapore

Azure Data Engineer ( Big Data Data Pipeline DWH )

Job description

  • Newly created role due to business expansion
  • Regional role

About the company

Our client is a end user with multiple offices across Asia. With massive expansion plan, they are looking to recruit a new Data Engineer (Azure Data, Azure Synapse, Azure Data Factory / Data Lake) to join their team.

About the job

You will be responsible for:

Building data ingestion pipeline. This includes maintaining optimal data pipeline architecture

Assembling large, complex data sets to be ready for data analytics to support analytics initiatives

Implementing the delivery of data solution for business stakeholders across different departments (Manufacturing, Operations and etc)

Implementing Data governance Framework (Policies, Standards and Roles). This includes driving Data governance initiative over the design and implementation of data analytics projects

Analyse current business processes, identifying and translating data requirements into business improvement through data analytics. This includes developing technical solutions in areas of big data platform to fulfil various business use cases.

Skills and experience required

As a successful applicant, you will have at least 2 years of experience in Microsoft Azure Data Services - Azure Synapse, Azure Data Factory, Azure Data Lake, Azure Databricks, Azure HDInsight or Azure Machine Learning.

Whats on offer

This is an excellent opportunity to join a leading company with the opportunity to participate in high value Data projects with exposure to latest technology.

To apply online please use the 'apply' function, alternatively you may contact Hoon Teck TAN at 6510 3633. (EA: 94C3609/ R1219669)

Desired Skills and Experience

Azure data factory, Azure data lake, Azure databricks, big data, big data analytics, DWH, data warehousing, enterprise data warehouses (EDW), extract, transform, load (ETL)

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