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Home›Jobs›Five9›Sr. Data Engineer
Five9

About Five9

Empowering extraordinary customer experiences through cloud solutions

🏢 Tech👥 1K-5K📅 Founded 2001📍 San Ramon, California, United States

Key Highlights

  • Public company (NASDAQ: FIVN) with strong market presence
  • Over 2,000 customers including Zappos and ADT
  • Raised $200M+ in funding to date
  • Headquartered in San Ramon, California

Five9 is a leading provider of cloud contact center solutions, headquartered in San Ramon, California. With over 2,000 customers, including major brands like Zappos and ADT, Five9 offers a comprehensive CCaaS platform that integrates AI-driven analytics to enhance customer interactions. The company ...

🎁 Benefits

Five9 offers competitive salaries, stock options, generous PTO policies, and a flexible remote work policy to support work-life balance. Employees als...

🌟 Culture

Five9 fosters a culture focused on innovation and customer success, encouraging employees to leverage data and insights to drive impactful solutions. ...

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Five9

Sr. Data Engineer

Five9 • India, Bengaluru

Posted 3w agoSeniorData engineer📍 Bengaluru
Apply Now →

Skills & Technologies

AWSApacheAirflowPythonSQL

Overview

Five9 is hiring a Senior Data Engineer to design and implement a Customer Data Platform that unifies customer data for enhanced analytics and engagement. You'll work with AWS, Apache, and Airflow to build scalable data solutions. This role requires strong experience in data engineering and cloud technologies.

Job Description

Who you are

You have 5+ years of experience in data engineering, with a strong background in building scalable data pipelines and architectures. Your expertise in cloud technologies, particularly AWS, allows you to design robust solutions that meet the needs of diverse stakeholders. You are proficient in Python and SQL, enabling you to manipulate and analyze large datasets effectively. You understand the importance of data quality and governance, ensuring that the data you work with is reliable and actionable. You thrive in collaborative environments, working closely with product, data science, and engineering teams to deliver impactful solutions. You are passionate about customer experience and are eager to contribute to a platform that enhances how organizations understand and engage with their customers.

Desirable

Experience with Apache Airflow for orchestrating complex data workflows is a plus. Familiarity with data governance frameworks and best practices will help you excel in this role. Knowledge of additional cloud services and tools will be beneficial as you work on integrating various data sources into the Customer Data Platform.

What you'll do

In this role, you will design and implement Five9's Customer Data Platform solutions, enabling production use cases that enhance customer experience. You will architect and develop highly scalable services for ingesting large-scale datasets from multiple sources, ensuring that the data is processed efficiently and accurately. Your responsibilities will include collaborating with cross-functional teams to define data requirements and deliver solutions that support real-time decision-making. You will also be responsible for maintaining data quality and governance standards, ensuring that the platform provides a single source of truth for analytics and personalization. As a key member of the data engineering team, you will take ownership of the data pipelines and storage layers, continuously optimizing them for performance and reliability. You will have the opportunity to shape the data foundation that directly influences how Five9 understands and serves its customers.

What we offer

At Five9, we foster a team-first culture that values diversity and inclusion. You will be part of a collaborative environment where your contributions are recognized and celebrated. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to innovate and enhance customer experiences through cutting-edge technology and data-driven insights.

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