דרושים » תוכנה » Senior Big Data Engineer, BI

Responsibilities and Duties:

data Integration (60%)
Design, build, and maintain seamless data integrations with customers using Streams, Databases (DBs), and APIs.
Ensure efficient data mapping, transformation, and validation processes.
Optimize integration pipelines for performance and scalability.
Customer Support Issue Resolution (30%)
Troubleshoot and resolve integration or data -related issues for customers.
Act as a trusted technical advisor, helping clients optimize their data processes.
Work closely with Customer Success teams to enhance the onboarding experience and reduce time to value.
Continuous Improvement (10%)
Provide insights to enhance data integration processes, improve system efficiency, and contribute to automation efforts.
Identify opportunities to streamline workflows and implement best practices.

our company's Algorithm Team is seeking a highly Technical data engineer to drive algorithmic data intelligence, to characterize and accelerate development processes & validation standards for complex insights from our autonomous data ecosystem. As part of the Algorithm Team, you will be responsible for understanding the deep technical needs of our algorithmic systems, translating complex data patterns into actionable insights, and building validation methods that enhance our autonomous driving capabilities. This role focuses on algorithmic data requirements analysis, complex pattern recognition, and creating intelligent data solutions that directly impact our core algorithms. The ideal candidate is a technical problem-solver with strong algorithmic thinking, a creative approach to data challenges, and the ability to dive deep into complex technical systems to extract meaningful insights.
What will your job look like:
Serve as Data expert for "brain" group of our company- the part of the software responsible for the vision, fusion, and algorithm development.
Map the data needs of the different algorithmic and functional testing teams.
Define and execute validations methods across various data flows- e.g- signals, meta data, data labels.
Contribute to delivering high-quality data products that enhance our companys autonomous driving capabilities.
Next-Generation Data Innovation - envision and develop the next generation of content and insights that can be derived from our company's big data ecosystem.