Technical interviewer for Data Engineering position Offline
We are currently searching for a technical interviewer to join our team.
The ideal candidate will be responsible for conducting 1 to 2 interviews per day. If you have experience in technical interviewing and are interested in this opportunity, please reach out to us. We look forward to hearing from you!
The position we will be interviewing for is written below:
We’re seeking for Senior Engineer to join our Data Products team (part of our Data Engineering org). In this role, you will be responsible for architecting and implementing a set of core data sets in our data lake. And your customers are our data consumers, including analysts, machine learning engineers and data scientists.
What will you do?
Design and implement mission-critical data pipelines for our company
Help create a set of high-quality, composable data products for our data consumers
Write well-designed, testable, performant, and efficient code that runs on Apache Spark and Delta Lake
Lead the development of a world-class data lake that meets the strict security, privacy, and compliance requirements of the healthcare industry
Collaborate with the data analytics team to calculate and deliver key business metrics
Collaborate with the data science and machine learning team to build data sets used for model training and development
Mentor and coach other engineers to build a data-first culture at the company
What you’ve accomplished:
5+ years of experience in backend development
You’ve built high-quality data pipelines before with comprehensive unit tests suites, data quality checks etc.
Experience with Apache Spark and Delta Lake are a plus, but not required
Self-starter with the ability to thrive in a fast-paced startup environment
Exceptional oral and written communication skills
Experience coaching and mentoring team members
Experience collaborating with product partners
BA/BS degree in Computer Science, Engineering or equivalent
The job ad is no longer active
Job unpublished on
2 April 2023
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