Data Engineer

As a 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 various Google services to develop batch and real-time data pipelines, perform data migration, and design data layers. Your primary responsibilities will include: • Design Data Pipelines: Design and build data engineering solutions using Google services such as DataProc, DataFlow, PubSub, BigQuery, Big Table, Cloud Spanner, CloudSQL, and AlloyDB for batch and real-time data processing. • Develop Data Migration: Develop and manage batch and real-time data pipelines for Data Warehouse and Datalake, ensuring efficient data migration and integration. • Manage Data Platform: Schedule and manage the data platform using Google Cloud Scheduler and Cloud Composer (Airflow), ensuring seamless data workflow and pipeline management. • Implement Data Solutions: Implement 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. • Optimize Data Pipelines: Optimize and maintain data pipelines for efficiency, scalability, and reliability, ensuring high-quality data output.