| Company | Dropbox |
| Location | Remote – Mexico |
| Salary | 25-40 LPA (est.) |
| Experience | |
| Type | Full-Time |
Overview
Dropbox is seeking a skilled Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. As a Data Engineer, you will design, build, and maintain large-scale analytics pipelines using modern data technologies.
Responsibilities
- Design, build, and maintain large-scale analytics pipelines using modern data technologies
- Collaborate with cross-functional teams to identify and prioritize project requirements
- Develop and maintain data architectures that meet the needs of various stakeholders
- Ensure data quality, integrity, and security across all analytics pipelines
- Optimize data processing workflows for performance, scalability, and reliability
- Stay up-to-date with emerging trends and technologies in data engineering
Requirements
- 5+ years of experience in data engineering, with a focus on building scalable analytics pipelines
- Strong proficiency in programming languages such as Java, Python, or Scala
- Experience with big data technologies like Hadoop, Spark, or NoSQL databases
- Excellent understanding of data modeling, data warehousing, and ETL processes
- Strong collaboration and communication skills, with experience working with cross-functional teams
Benefits
As a Data Engineer at Dropbox, you will have the opportunity to work with a talented team of engineers, data scientists, and product managers to drive business growth through data-driven insights. You will also enjoy a competitive salary, comprehensive benefits, and a flexible working environment.
Apply
If you are a motivated and experienced Data Engineer looking to join a dynamic team, please submit your application, including your resume and a cover letter, to be considered for this exciting opportunity.