Data and AI Engineer
Google (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 25–40 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Guide customers in ingesting, storing, processing, analyzing, and visualizing data on Google Cloud Platform (GCP).
- Design, migrate, and operationalize large-scale data storage and processing systems using cloud-native products.
- Develop data pipelines optimized for scale and ensure data governance, security, and quality; travel to customer sites for deployment and workshops.
Minimum Requirements
- Bachelor's degree in Computer Science or equivalent practical experience.
- Experience developing and troubleshooting data processing algorithms/software (Python, Java, Scala, Spark, Hadoop).
- Experience building machine learning or data science solutions.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Experienced with data warehouses, ETL/ELT, and familiarity with analytical tools and data structures in cloud environments.
- Knowledge of Big Data technologies, distributed data frameworks, and GCP data stores like BigQuery, CloudSQL, AlloyDB.
- Skilled in core AI/ML concepts and frameworks such as TensorFlow or PyTorch; able to translate complex client needs into technical solutions and lead migrations to GCP.