Microsoft Data Engineer - Azure Resource Graph 

Taiwan, Taoyuan City 

311723452

As a Data Engineer, you will be responsible for sourcing, curating and building high quality datasets to enable various partner scenarios. You will be responsible for building highly scalable and low latency data pipelines that is capable of processing Petabytes of data. You will be responsible of going deep into domains and building insights by leveraging high quality data.

Required Qualifications:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
  
  • OR equivalent experience.
• 1+ year(s) experience in building highly scalable data pipelines using Apache Spark.
• 1+ year(s) experience leveraging Big data Cloud technologies

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
  • OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related fieldAND 1+ year(s) experience in business analytics, data science, software development, data modeling or data engineering
  • OR equivalent experience.
• Experience with Azure Data tech stack

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Builds scalable data models and data pipelines to extract, load and transform data, ensures secure data storage, with focus on data quality and compliance.
• Tackle challenges of scale and criticality that will broaden your engineering horizons.
• Supports identification of dependencies, and the development of design documents for a product feature with oversight.
• Assists and learns about breaking down work items into tasks and provides estimation.
• Works with appropriate stakeholders to determine user requirements for a feature.
• Acts as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommends actions to restore system/product/service by following the playbook.