· In-depth understanding of Google's product technology and underlying architectures
· Google Cloud SQL
· JAVA GCP
· AIGEE
· Big Query
· Google Cloud Platform
· DataFlow (Apache Beam) – reusable Flex templates/ data processing frameworks using Java for both batch and stream needs.
· Pub/Sub, Kafka, Confluent Kafka – Real time streaming of database changes or events.
· Experience of designing, building, and deploying production-level data pipelines using Kafka; Strong experience working on Event Driven Architecture
· Strong knowledge of the Kafka Connect framework, with experience using several connector types HTTP REST proxy, JMS, File, SFTP, JDBC etc.
· Experience in handling huge volumes of streaming messages from Kafka
· Knowledge on BigTable
· Cloud SQL, Compute Engine, Cloud Function, Cloud Run and App Engine, Cloud Storage
· Experience with open-source distributed storage and processing utilities in the Apache Hadoop family
Any Graduate