Data Engineer

Data Engineer

Five9 is a leading provider of cloud software for the enterprise contact center market. Five9 offers our partners a solution that is reliable, secure, compliant and scalable, while creating exceptional customer experiences, increasing agent productivity and delivering tangible business results. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.

The Data Engineer will help design and implement a Google Cloud Platform (GCP) Data Lake, build scalable data pipelines, and ensure seamless access to data for business intelligence and data science tools. They will support a wide range of projects while collaborating closely with management teams and business leaders. The ideal candidate will have a strong understanding of data engineering principles, data warehousing concepts, and the ability to document technical knowledge into clear processes and procedures.

Responsibilities

• Design, implement, and maintain a scalable Data Lake on GCP to centralize structured and unstructured data from various sources (databases, APIs, cloud storage).
• 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 (e.g. DOMO, Looker, Databricks)
• Implement best practices for data quality, consistency, and governance across all data pipelines and systems, ensuring compliance with internal and external standards.
• 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 (e.g. Mathematics, Statistics, Engineering).
• 3+ years of experience using GCP Data Lake and Storage Services. Certifications in GCP are preferred (e.g. Professional Cloud Developer, Professional Cloud Database Engineer).
• 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 such as data science, analytics, product, and business leadership to understand and meet their data needs.

Company Benefits

• Company stocks
• Annual merit increase based on performance
• 15% night shift differential pay
• Paid Leave with Cash Conversion
• HMO with free dependents
• Retirement Plan
• Life Insurance
• While on work from home setup: Internet and meal allowance are provided
• Employee Assistance Program for mental and social well-being
• Government-mandated Benefits (SSS, PhilHealth, PagIBIG, 13^th month pay, Solo parent leave, Special leave for women)