Google•7 days ago
Data and AI Engineer
Recruiter Fit Breakdown & Candid Summary
1
This role is ideal for experienced data and AI engineers who excel at customer-facing consulting and cloud migrations.
2
Candidates should possess a strong foundation in software engineering, data processing frameworks, and machine learning solutions.
3
The position requires travel to customer sites and in-person interviews, making it a poor fit for candidates seeking fully remote work.
4
A background in building scalable data pipelines and modern cloud architectures is essential for success.
Role Responsibilities
- 1Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services.
- 2Engage with technical leads and partners to lead high-velocity migration and modernization to Google Cloud Platform (GCP).
- 3Design, migrate/build, and operationalize data storage and processing infrastructure using cloud-native products.
- 4Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data.
- 5Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external
Skills Matrix
Must-Have Skills
Python
Java
Scala
Spark
Hadoop
Machine Learning(ML)
Data Science
Nice-to-Have Skills
Google Cloud Platform(GCP)
NoSQL
MongoDB
TensorFlow
PyTorch
BigQuery
SQL
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