We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack. The candidate is expected to be a self-learner as it relates to new big data analytics technologies
Job Description• Must have extensive experience and excellent expertise in Java based server-side high-performance, highly-available applications development;
• Practical design, development and deployment experience with evolving existing designs towards large scale service architecture;
• Excellent object-oriented analysis and design skills and using proven architectural patterns;
• Must have practical experience with distributed computing frameworks;
• Experience with serialization frameworks such as Avro and Protocol Buffers;
• Experience developing systems following the REST architectural style;
• Knowledge of relation database concepts and SQL;
• Practical experience with unit testing (e.g., JUnit) and mocking (e.g., Mockito) frameworks;
• Practical experience with build frameworks such as Maven and sbt;
• Practical experience with the Scala programming language (desirable);
• Practical experience with Hadoop, Spark, Akka (desirable);
Qualifications• B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.
Additional InformationAll your information will be kept confidential according to EEO guidelines.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

.png)

