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Strong employer brand, metro location, mid-level generalist data role, and 3-6 years range increase competition.
Core cloud data engineering skills are transferable, though vehicle/connected-car domain adds moderate specialization.
Explicit 4+ years plus mandatory cloud data lake, big data and platform experience increases filter strictness.
Own design, development, and operation of high-volume cloud-based vehicle data platforms for connected cars.
Lead technical ownership of data ingestion, processing, governance, and consumption components across vehicle lifecycle data.
Provide technical leadership and mentorship while collaborating with global engineering, product, and business teams.
4+ years of experience in data engineering or related roles.
Bachelor’s degree in Computer Science, Mathematics, Statistics, or related technical discipline.
Strong expertise in Cloud Data Lake technologies and distributed/NoSQL data architectures.
Hands-on experience with Big Data technologies on Azure or AWS and designing real-time data stream architectures.
Experienced in designing and scaling cloud-native big data and analytics platforms in Agile environments.
Capable of defining and implementing data governance, security standards, and architecture for high-availability systems.
Able to collaborate cross-functionally and lead technical teams through mentoring and delivery excellence.