15 days ago
Bengaluru, India or Hyderābād, IndiaMid Level
Responsibilities
- Translate complex customer requirements into solution architecture recommendations and advisory services.
- Lead data migration and modernization initiatives to Google Cloud Platform with technical leads and partners.
- Design, build, migrate, and operationalize cloud-native data storage and processing infrastructure.
- Develop scalable data pipelines and troubleshoot platform or product challenges.
- Implement data quality and governance procedures to ensure data accuracy and reliability.
- Organize project requirements into goals, objectives, and work breakdown structures for internal and external stakeholders.
- Deploy customer solutions, deliver workshops, and travel to customer sites.
Requirements
- Bachelor's degree in Computer Science or equivalent practical experience.
- Experience developing and troubleshooting data processing algorithms and software using technologies such as Python, Java, Scala, Spark, or Hadoop.
- Experience building machine learning or data science solutions.
- Preferred experience with data warehouse architectures, infrastructure components, ETL/ELT, reporting and analytics tools, environments, and data structures.
- Preferred experience with Big Data, information retrieval, data mining, or machine learning.
- Preferred experience building multi-tier, highly available applications with NoSQL, MongoDB, SparkML, or TensorFlow.
- Understanding of database types and ability to write complex SQL queries.
- Understanding of distributed data processing frameworks and Google Cloud analytical and transactional data stores such as BigQuery, CloudSQL, and AlloyDB.
- Understanding of core AI/ML concepts and frameworks such as TensorFlow or PyTorch.
- Ability to work with customers, technical leads, partners, Product Management, and Product Engineering teams.
Benefits
- Travel to customer sites is required for solution deployment and workshops.
- The role is part of Google Cloud Consulting Professional Services and involves working with customers across cloud transformation projects.
Tech Stack
Apache HadoopApache SparkGoogle BigQueryGoogle Cloud PlatformJavaMongoDBPythonPyTorchScalaSQLTensorFlow
Categories
Solutions Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.