Staff Data Engineer - Quickbooks Capital and Lending
Indexed description
Responsibilities
- Understand functional requirements, develop technical designs and specifications, code and test.
- You will be required to size work of medium to large complexity and manage timelines and deliveries.
- Designing/developing software using data engineering technologies.
- You will be spending 90% hands-on designing, coding, testing and supporting production systems (on-call).
- Resolve defects/bugs during testing, pre-production, production, and post-release patches.
- Work cross-functionally with various Intuit teams: product management, other engineering teams and business units to drive forward results.
- Agile Development, SCRUM, or Extreme Programming methodologies.
- Data modeling, data warehousing, and building ETL pipelines.
- Production support via quarterly on-call rotations to monitor production systems and resolve production errors & incidents
- BS/MS in computer science or equivalent work experience
- 7+ years’ experience developing data engineering pipeline using technologies like Python, PySpark, Spark, SQL, DataBricks, AWS, Elastic Search, Kafka
- 7+ year’s experience working on BigData technologies.
- Extensive experience with Python and Spark
- Proven ability to understand a large existing codebase.
- Experience with the entire Software Development Life Cycle (SDLC).
- Demonstrated experience building and supporting large scale enterprise data engineering pipelines and featurization
The Expected Base Pay Range For This Position Is
Mountain View $202,500 - $274,000
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