Microsoft Data Engineer 

Taiwan, Taoyuan City 

59598543

. This is a world of, more innovation, more openness, and the skya cloud-enabled world.

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As a Data Engineer on our team, you will play a key role in shaping the future of our next-generation data platform. Using the latest Azure technologies, you will design and build scalable data pipelines, develop tools for metadata management, and create joband notification services. You will alsodata processing and storage, implement automated anomaly detection, and streamline daily operations through automation.

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Qualifications

Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+years experiencein business analytics, data science, software development, data modeling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, or data engineering work OR equivalent experience.• 2+ years of experience in software or data engineering, with proven• 2+ years in one scripting language for data retrieval and manipulation (e.g., SQL or KQL).• 2+ years of experience in big data scripting languages like Python, SCOPE, SQL or equivalent.• 2+ years of experience with ETL and data cloud computing technologies, including Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Logic Apps, Azure Functions, Azure Data Explorer, and Power BI or equivalent platforms.

Other Requirements

to meet Microsoft, customer and/or government security screening requirementsrequiredfor this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

• This position will berequiredto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications

• 1+ years ofcomply withregulatory standards.• Experience with big data technologies such as: Hadoop, Hive, Spark.• Experience with distributed database engines like Microsoft Synapse.

• You will design, develop, anddata pipelines, including solutions for data collection, cleansing, transformation, and usage, ensuringdata ingestion and readiness for downstream analysis, visualization, and AI model training.• You will build frameworks todata quality and completeness, detect anomalies, enhance data pipeline resiliency, and support unit and integration testing.• You will design and implement end-to-end software life cycles, encompassing design, development, CI/CD, service reliability, recoverability, and participation in agile development practices, including on-call rotation.• You will write code to implement performance monitoring protocols across data pipelines, building visualizations and aggregations topipeline health.also implement solutions and self-healing processes that minimize points of failure across multiple product features.• You willdata governance needs, designing data modeling and handling procedures to ensure compliance with all applicable laws and policies.• You will implement and enforce security and access control measures to protect sensitive resources and data.• You will Perform database administration tasks, including maintenance, and performance monitoring.

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