Description

You will build and manage data pipelines and ETL processes within Google Cloud Platform.

Responsibilities

  • Build and maintain ETL processes to move data across environments.
  • Implement streaming data pipelines into BigQuery and other GCP services.
  • Develop applications that connect to remote APIs.
  • Collaborate with Operations teams to tune existing and new architectures.
  • Align Google best practices with specific customer requirements for analytics delivery.

Required Skills

  • 6+ years of experience in Data Analytics and Big Data.
  • Strong Python programming skills.
  • Experience with GCP products: BigQuery, GCS, Cloud Dataflow, Cloud Pub/Sub, and Cloud Bigtable.
  • Hands-on experience with ETL implementation and data pipeline development.
  • Proficiency with relational databases such as PostgreSQL and MySQL.
  • Experience with NoSQL systems including Redis, Cassandra, and MongoDB.
  • Understanding of real-time streaming and processing for logs, time series, and unstructured data.

Preferred Skills

  • Experience migrating Data Warehouses or Hadoop projects from on-prem to GCP using DataProc.

Key Skills
Education

Any Graduate

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