Data and AI Engineer
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Machine Learning · Data Analysis
In short
This role involves guiding customers on Google Cloud Platform for data ingestion, processing, and analysis. You will work on data migrations, design scalable data pipelines, and ensure data governance and security. The position requires experience in data processing algorithms, machine learning solutions, and cloud-native technologies.
Responsibilities
- 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.
Requirements
- 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.
Desired 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
- Opportunity to work with Google Cloud's cutting-edge technology.
- Guide customers on their cloud journey and help businesses thrive.
- Shape the future of businesses with innovative technology solutions.
- Travel to customer sites to deploy solutions and deliver workshops.
- Collaborate with Product Management and Product Engineering teams.
- Work in a rapidly growing business environment.
- Opportunity to work on data migrations and modernization projects.
- Develop data pipelines optimized for scaling.
- Troubleshoot potential platform/product challenges.
- Gain an in-depth understanding of data governance and security controls.
Skills
PythonJavaScalaSparkHadoopNoSQLMongoDBSparkMLTensorFlowSQLBigQueryCloudSQLAlloyDBPyTorch
#Data and AI Engineer#Google Cloud#Data Processing#Machine Learning#Data Pipelines#Cloud Native#Data Governance#Data Migration
About Google
Innovative Full-Stack Developer | Building Scalable Solutions with Node.js & React
At Google, our mission is to organize the world's information and make it universally accessible and useful. From Search to AI, we develop products and services that improve the lives of billions, empowering individuals and businesses globally. We're driven by a passion for innovation, a commitment to solving complex problems, and a belief in the transformative power of technology. Since our founding in 1998, we've remained dedicated to creating a more helpful and connected world.
Company
GoogleJob Posted
4 days ago
Employment Type
Full Time
Work mode
Hybrid
Experience Level
Entry
Locations
Bengaluru, India
Gurugram, India
Hyderabad, India
Qualification
Bachelor
Applicants
Be an early applicant
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