Data Engineer-Data Platforms-Google

About the role

As a Data Engineer specializing in Google's data platforms, you will design, build, and maintain data engineering solutions on Google's Cloud ecosystem. This role requires expertise in utilizing various Google services for batch and real-time data pipelines, data migration, and data layer design.

What you'll do

• Work with leading companies across industries, helping them shape their hybrid cloud and AI journeys
• Design, build, and maintain data engineering solutions on Google's Cloud ecosystem
• Design Data Pipelines: Design and develop batch and real-time data pipelines for Data Warehouse and Datalake using Google services such as DataProc, DataFlow, PubSub
• Develop Data Engineering Solutions: Utilize Google Cloud Storage, BigTable, BigQuery DataProc with Spark and Hadoop
• Manage Data Platforms: Schedule and manage the data platform using Google Cloud Scheduler and Cloud Composer (Airflow), ensuring efficient data pipeline operations

What you need

• Python
• ETL
• BigQuery
• Spark
• Airflow
• Hadoop
• Any graduate

Good to have

• Data warehousing
• dbt
• GCP
• Scala