(Sr.) Data Engineer

Posted 11 Hours Ago
Be an Early Applicant
Taipei
Senior level
Big Data • Cloud • Security • Software • Cybersecurity
The Role
The Sr. Data Engineer will develop and maintain data pipelines, manage databases, ensure data quality, and collaborate with teams to integrate and deliver comprehensive BI analytics. The role focuses on SQL programming and using Azure tools for data processing and management.
Summary Generated by Built In

Join Trend ‧ Join New Generation

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Overview

The Business Intelligence Foundation (BIF) 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 5 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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連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World

Top Skills

SQL
The Company
Austin, TX
7,000 Employees
On-site Workplace

What We Do

We’re a global cybersecurity leader, helping to make the world safe for exchanging digital information. Fueled by decades of security expertise, global threat research, and continuous innovation, our cybersecurity platform protects hundreds of thousands of organizations and millions of individuals across clouds, networks, devices, and endpoints.

As a leader in cloud and enterprise cybersecurity, our platform delivers a powerful range of advanced threat defense techniques optimized for environments like AWS, Microsoft, and Google, and central visibility for better, faster detection and response.

Our global threat research team delivers unparalleled intelligence and insights that power our cybersecurity platform and help protect organizations around the world from 100s of millions of threats daily.

We have 7,000 employees across 65 countries, singularly focused on security and passionate about making the world a safer and better place.

We enable organizations to simplify and secure their connected world.

Trend Micro’s “Trenders” are passionate about doing the right thing to make the world a safer and better place.

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