Advance your career in data engineering with a focus on Google Cloud's powerful data platforms. This role offers the opportunity to work with leading companies, shaping their hybrid cloud and AI strategies. Join IBM Consulting's FutureNow Centers, where innovation and deep technical expertise drive client success across diverse industries. We foster a culture of curiosity and continuous learning, supporting your long-term professional development while valuing your unique contributions.

Design, build, and maintain robust data engineering solutions on Google Cloud. Develop efficient batch and real-time data pipelines using services like DataProc, DataFlow, Pub/Sub, BigQuery, and Bigtable. Implement data migration strategies and optimize data layer design for performance and scalability. Manage data platform operations, including scheduling and monitoring, to ensure seamless data flow and reliable operations.

A Bachelor's degree is required, with a Master's degree preferred. You should possess extensive experience with the Google Cloud ecosystem, including proficiency in BigQuery, DataFlow, and Pub/Sub. Demonstrated ability in developing and managing batch and real-time data pipelines for data warehouses and datalakes is essential. Familiarity with open-source technologies such as Apache Airflow, dbt, and Spark/Python is highly beneficial. Strong understanding of data layer design and data migration solutions on Google Cloud is expected.