全职 (Sr.) Data Engineer 工作, 薪水, Trend Micro 台北市, 台灣 公司招聘中 - Ricebowl

Join Trend ‧ Join New Generation

趨勢科技 - 全球雲端資安領航者 / 全亞洲最大軟體公司 / 企業版圖橫跨五大洲 / 趨勢全球研發基地在台灣
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Overview

The team has established a robust data infrastructure over the years, focusing on delivering comprehensive BI analytics to support management decision-making across various company initiatives. We empower functional teams with self-service data analytics to create their own reports and dashboards. Believing that success comes from each team member's contributions, we offer opportunities to gain extensive business knowledge, learn new technologies, and make valuable contributions. If you're passionate about data engineering, eager to acquire business and data domain knowledge, and possess strong analytical skills and business acumen, we invite you to join our dynamic team!

Responsibilities

• Data Pipeline Development : Design, develop, and maintain efficient data pipelines using tools like Azure Data Factory and Databricks to process large volumes of data.

• Database Management : Utilize strong experience with Relational Database Management Systems (RDBMS) and solid SQL (MSSQL) programming skills, including performance tuning and query optimization.

• Data Integration : Collaborate with cross-functional teams to integrate data from multiple sources, ensuring seamless data flow and accessibility.

• Data Quality Assurance : Implement data validation processes to ensure the accuracy and reliability of data across all platforms.

• Collaboration : Work closely with data analysts and business stakeholders to understand data requirements and deliver solutions that meet business objectives.
  
  

Qualifications

• Experience : Minimum of 2 years in data engineering development.

• Technical Skills :

  • Proficient in SQL development with expertise in MSSQL.

  • Hands-on experience with data platforms such as Azure Data Explorer, Azure Synapse Analytics, and Databricks.

  • Familiarity with ETL/ELT processes and tools like Azure Data Factory.
    
    

• Soft Skills :

  • Fast learner with the ability to adapt to new technologies quickly.

  • Collaborative team player who thrives in a cross-functional environment.

  • Open-minded and proactive in identifying opportunities for improvement.

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