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Senior Data Engineer

Job description

Job Responsibilities:

  • Analyze public events regarding IT architecture and bring them to the attention of the members of the team.
  • Mapping data sources: An understanding of where data is stored and maintained. Although the application teams are responsible for documenting the details of application data, you must know where data is maintained and accessed.
  • Defining integrative views of data: These views will draw together data from across the domains. Some views will use a database of extracted data - others will bring together data in "near real time."
  • Work with business people and data engineers and application designers to identify and model these integrative views and determine the quality of service requirements.
  • Designing and implementing data acquisition strategies. Data Engineer owns and extends the business's data pipeline through the collection, storage, processing, and transformation of large data-sets.


Job Requirements:

  • At least 5 years of professional experience with Data Management technologies. Minimum of 3 years of Hadoop, NoSQL, and Open-Source data management technologies.
  • Azure related Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Azure Stream Analytics, Azure Data Factory, Azure Data Lake Storage (ADLS) Gen2.
  • Fundamental Data Modelling experience on enterprise level.
  • Python scripting. Outstanding knowledge of SQL, procedural SQL (PL/SQL & T-SQL).
  • Familiar with ETL process.
  • Experience in the field of Business Systems Analysis, Business Performance and Analysis.

How to Apply?

To apply, please click "APPLY NOW" or email Sandara Phan at sandara.phan@ambition.com.my. Data provided is for recruitment purposes only.

Due to the volume of applications received, we regret to inform you that only shortlisted candidates will be notified.

JTK Number: JTKSM 995 | Company Registration Number: 201301019088 (1048918-T)

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