Senior Data Platform Engineer

About the role

Employer: (0147) International Business Machines Corporation

As a seasoned Data Engineer specializing in Google's data platforms, you will design, build, and maintain data engineering solutions on Google's Cloud ecosystem. You will utilize your expertise in Google's services and open-source technologies to deliver scalable and efficient data pipelines.

Your primary responsibilities will include:

• Design Data Pipelines: Design and develop batch and real-time data pipelines for Data Warehouse and Datalake using Google Cloud services such as DataProc, DataFlow, PubSub, BigQuery, and Big Table.

• Develop Data Engineering Solutions: Build and maintain data engineering solutions using Google Cloud Storage, BigTable, BigQuery DataProc with Spark and Hadoop, Google DataFlow with Apache Beam or Python, and other open-source technologies like Apache Airflow, dbt, Spark/Python, or Spark/Scala.

• Manage Data Platforms: Schedule and manage the data platform using Google Cloud Scheduler and Cloud Composer (Airflow), ensuring seamless data pipeline operations.

• Optimize Data Layer: Design and optimize the data layer for efficient data migration and data processing using Google Cloud services.

• Ensure Scalability: Ensure scalability and efficiency of data pipelines and data engineering solutions to meet business needs.

This role can be performed from anywhere in the United States of America