Data Engineer
Data Engineer
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Job Description
Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software bringing the power of cloud innovation to customers worldwide.
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.
This position is based out of one of the offices of our affiliate Acqueon Technologies in India and will adopt the hybrid work arrangements of that location. You will be a member of the Acqueon team with responsibilities supporting Five9 products collaborating with global teammates based primarily in the United States.
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
- Bachelors 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.
Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds perspectives and skills. The more inclusive we are the better we are. Five9 is an equal opportunity employer.
View our privacy policy including our privacy notice to California residents here: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.
Employment Type
Full Time
