Google Data Engineer

Key Responsibilities:

• Build large-scale data and analytics solutions on GCP.
• Develop and maintain data pipelines using Cloud Dataflow, Pub/Sub, Cloud BigQuery, and Cloud DataProc.
• Work with Cloud BigTable, Cloud Storage, Spark, Hive, and AI/ML-based solutions.
• Integrate large datasets from multiple sources and perform data modeling and transformation.
• Design and implement data lake and data warehouse solutions.
• Develop and optimize ETL workflows on GCP.
• Implement DevOps practices and CI/CD pipelines for data engineering solutions.
• Migrate data from legacy systems such as Oracle, Big Data platforms, and Netezza to GCP.
• Write and maintain Python and PL/SQL code for data processing and integration.
• Ensure performance optimization, scalability, and reliability of cloud-based data solutions.

Technical Requirements: