Description

Build and manage data pipelines within the Google Cloud Platform ecosystem, owning the end-to-end lifecycle from ingestion to warehousing.

Responsibilities

• Develop and maintain data pipelines using Google Cloud Dataflow.
• Integrate pipelines with Composer or Airflow for scheduling and orchestration.
• Execute ETL processes for structured and unstructured data.
• Manage bulk and streaming data loads and integrations.
• Build and deploy services using CI/CD tools including Jenkins and GitHub Actions.

Required Skills

• 3-5 years of professional data engineering experience.
• Hands-on experience with Google Cloud Platform.
• Proficiency with BigQuery for data warehousing.
• Experience with relational databases such as Spanner, Oracle, or PostgreSQL.
• Experience with build and CI/CD tools including Gradle, Maven, Jenkins, and GitHub Actions.
• Understanding of OLTP and Datawarehouse data models.
• Knowledge of ETL products and data integration patterns.

Preferred Skills

• Experience implementing both bulk loads and streaming load integrations.

Key Skills

Education

Any Graduate