#JR-202416698
velop an access abstraction layer that simplifies how developers interact with data.
Ensure scalability, reliability, and performance of the system to load and train on large volumes of data efficiently.
Automate the extraction, transformation, and loading (ETL) of logs from vehicle systems to a centralized data platform.
Design and build a data platform capable of seamless data movement between on-premises data centers and cloud environments (public and private).
Utilize technologies such as DreamIO, Spark, and Airflow to orchestrate and monitor data workflows.
Provide technical guidance and mentorship to junior team members.
Propose and implement additional solutions to optimize data infrastructure and enhance developer productivity.
Additional Description
Bachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred.
Proven experience (8+ years) in designing and building scalable data platforms and data pipelines.
Strong proficiency in programming languages such as Python, Java, or C++.
Proficiency in ML frameworks such as TensorFlow, PyTorch, or similar
Hands-on experience with big data technologies (e.g., Spark, Kafka, Databricks) and cloud platforms (AWS, Azure, GCP).
In-depth understanding of network stacks, including protocols such as TCP/IP, HTTP, DNS, and others
Expertise in SQL and NoSQL databases, data warehousing concepts, and ETL processes.
Comfortable working in highly ambiguous and dynamic environments.
This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View three times per week, at minimum.
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $225,000 and $334,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
An incentive pay program offers payouts based on company performance, job level, and individual performance.
About GM
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Diversity Information
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