Data Engineer

Couchbase delivers unmatched performance cloud database platform for modern applications across cloud, on premises, hybrid, mobile and edge deployments.
Data
Senior Software Engineer
Hybrid
5+ years of experience
Enterprise SaaS · AI

Description For Data Engineer

Couchbase, a leading cloud database platform provider, is seeking a Data Engineer to join their Delorean team. With over 30% of Fortune 100 companies trusting Couchbase, this role offers an exciting opportunity to work on cutting-edge data infrastructure. The position requires expertise in modern data technologies like Snowflake, Google Cloud, and Databricks, focusing on building robust analytics platforms and integrating AI solutions.

The ideal candidate will have 5+ years of experience in data engineering, bringing strong technical skills in SQL, Python/Scala, and various data visualization tools. You'll be responsible for designing data pipelines, implementing cloud solutions, and ensuring data quality while collaborating with cross-functional teams.

Couchbase offers a comprehensive benefits package including equity programs, generous time off, and complete healthcare coverage. The company has been recognized as a Best Place to Work in both the Bay Area and the UK, fostering a culture of innovation and growth. This hybrid role in India provides an excellent opportunity to work with passionate professionals while contributing to the evolution of modern cloud database solutions.

Join Couchbase to be part of a greater change in the database industry, working on solutions that power applications from cloud to edge. The role offers significant growth potential and the chance to work with cutting-edge technologies in a supportive, innovative environment.

Last updated 18 days ago

Responsibilities For Data Engineer

  • Design, develop, and maintain scalable data pipelines and ETL processes
  • Implement and optimize solutions using cloud platforms like Snowflake, Databricks, and Google Cloud
  • Build and maintain interactive dashboards using Looker, PowerBI, and Tableau
  • Collaborate with Data Science teams to integrate AI models
  • Ensure data quality, security, and compliance
  • Partner with cross-functional teams
  • Identify opportunities to improve data workflows

Requirements For Data Engineer

Python
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
  • 5+ years of hands-on experience in data engineering
  • Expertise in Snowflake, Databricks, and Google Cloud Platform
  • Proficiency in ETL/ELT processes and data pipeline tools
  • Experience with data visualization tools
  • Strong SQL skills and familiarity with Python or Scala
  • Knowledge of AI/ML concepts
  • Excellent problem-solving skills
  • Strong communication and collaboration skills

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Equity
401k
  • Generous Time Off Program
  • Medical, dental, vision, life insurance, and employee assistance programs
  • RSU equity program
  • ESPP program
  • Retirement program
  • Business Travel Insurance
  • Career Growth opportunities
  • Ergonomic and comfortable in-office/WFH setup
  • Food & Snacks for in-office employees

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