Data Engineer Specialist

5 days ago


Manila, National Capital Region, Philippines Five9 Philippines Inc. Full time

**About Five9 Philippines Inc.**

We are a leading provider of cloud contact center software, bringing the power of innovation to customers worldwide. Our team-first culture enables us to innovate, grow, and thrive while enjoying the journey together.

The **Data Engineer** will play a critical role in designing and implementing a Google Cloud Platform (GCP) Data Lake, building scalable data pipelines, and ensuring seamless access to data for business intelligence and data science tools.

Responsibilities
  • Design and implement a scalable Data Lake on GCP to centralize structured and unstructured data from various sources.
  • Utilize GCP services including BigQuery, Dataflow, Pub/Sub, and Cloud Storage to optimize and manage data workflows, ensuring scalability, performance, and security.
  • Collaborate closely with data analytics and data science teams to understand data needs, ensuring data is properly prepared for consumption by various systems.
  • Implement best practices for data quality, consistency, and governance across all data pipelines and systems.
  • Continuously monitor, test, and optimize data workflows to improve performance, cost efficiency, and reliability.
  • Maintain comprehensive technical documentation of data pipelines, systems, and architecture for knowledge sharing and future development.
Requirements
  • Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related quantitative field.
  • 3+ years of experience using GCP Data Lake and Storage Services. Certifications in GCP are preferred.
  • Advanced proficiency with SQL, with experience in writing complex queries, optimizing for performance, and using SQL in large-scale data processing workflows.
  • Proficiency in programming languages such as Python, Java, or Scala, with practical experience building data pipelines, automating data workflows, and integrating APIs for data ingestion.
  • Experience with version control systems such as Git, and familiarity with CI/CD pipelines for automating testing and deployment of data systems.
  • Strong communication and collaboration skills, with a proven ability to work cross-functionally with teams to understand and meet their data needs.

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