Big Data Pipeline Architect
3 weeks ago
At Bitsight Technologies, we're committed to innovation and excellence in data engineering. As a Senior Data Engineer, you'll play a critical role in driving business impacts through data engineering challenges. Our team is passionate about leveraging data to make informed decisions, and we're looking for someone who shares our enthusiasm.
About the RoleYou'll be responsible for designing and implementing scalable data pipelines and infrastructure, adding new sources, coding business rules, and producing new metrics that support data science and security research. You'll also create and implement code, along with unit/integration tests, and adhere to coding patterns, guidelines, styles, and best practices.
RequirementsThe ideal candidate will have more than 5 years of experience as a Software/Data Engineer, with significant experience working on SaaS products. A strong academic background in a quantitative field (Computer Science, Engineering, or Applied Mathematics) is required. The candidate should be proficient in managing and developing scalable data pipelines and automation of data workflows using Python & Spark/Scala.
- In-depth knowledge of AWS infrastructure and technology stacks for handling large datasets and table formats in a data lake environment
- Experience in data models, data warehousing, building and optimizing ETL pipelines
- Deep understanding and experience of orchestration tools, CI/CD paradigms, and SDLC best practices
- Proven experience with SQL/NoSQL data warehouses
- Skilled at optimizing large datasets and developing operational processes that improve data quality
The estimated salary range for this position is $140,000 to $160,000 annually.
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