Your Impact
As a Principal Software engineer on the Data Platform team, you will
- Architect and implement scalable ETL and ELT processes to handle data ranging from gigabytes to petabytes in size
- Design and develop distributed streaming pipelines using Java multithreading and Apache Beam frameworks
- Design and optimize data storage and indexing solutions for both real-time streaming and batch processing applications
- Ensure your team delivers high output and mentor other engineers
- Continuously seek ways to make a substantial impact on your team and the broader engineering organization
- Help drive projects from requirements to complete design and implementation
- Anticipate challenges of architecting at scale, align architecture vision with strategic initiatives
Requirements
Your Experience
- 7+ years of industry experience as a professional software engineer building writing back end software
- Proficiency in designing and developing stream/event-processing architectures using technologies such as Kafka, RabbitMQ, Storm, Spark, or their equivalents
- Excitement to dig in, prototype, build, test, and see projects through to production - results driven, with strong analytical and problem-solving skills
- Ability to balance shipping new products and features with addressing technical debt and investments in architecture and infrastructure
- Solid understanding of various methods and tradeoffs for handling concurrency
- Strong familiarity with databases, data modeling, and performance optimization
- Experience with and opinions about API design and distributed backend systems
- Familiarity with Java
- These will fetch you bonus points
- Have expertise with any of the following: BigQuery, PostgreSQL, BigTable, BigQuery, Apache Beam, database profiling, Terraform
- Have experience using and enhancing CI/CD systems
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