Data and AI Engineer
Google · Posted Oct 28
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
The Google Cloud Consulting Professional Services team guides customers through their cloud journey, helping businesses transform using Google's global network, data centers, and software infrastructure. The role sits within Google Cloud's data domain, covering data ingestion, storage, processing, analysis, and visualization on Google Cloud Platform. As a Strategic Cloud Data Engineer, the role involves designing large-scale data processing systems, building scaled data pipelines, leading migrations and modernization projects, and delivering workshops at customer sites.
What you will do
- Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services.
- Engage with technical leads, and partners to lead high velocity migration and modernisation to Google Cloud Platform (GCP).
- Design, migrate/build and operationalise data storage and processing infrastructure using Cloud native products.
- Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data.
- Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.
Skills used in this role
What the employer is looking for
- Bachelor's degree in Computer Science or equivalent practical experience.
- Experience in developing and troubleshooting data processing algorithms and software (e.g., Python, Java, Scala, Spark, Hadoop).
- Experience building machine learning or data science solutions.
Preferred qualifications
- Experience in working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures.
- Experience in Big Data, information retrieval, data mining, or Machine Learning.
- Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow.
- Understanding of database type, with the ability to write complex SQLs.
- Understanding of distributed data processing frameworks and modern age GCP analytical and transactional data stores like BigQuery, CloudSQL, AlloyDB etc.
- Understanding of core AI/ML concepts and frameworks like TensorFlow or PyTorch.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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