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
• Have the tools to drive meaningful change and accelerate client impact
• Be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results
• 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

What you need

• 1–3 years in data science & ai
• Python
• ETL
• BigQuery
• Spark
• Airflow
• Hadoop
• Any graduate

Good to have

• Data warehousing
• dbt
• GCP
• Scala