Design and implement data architectures on cloud platforms using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer, and more.
Develop and optimize scalable, high-performance ETL/ELT pipelines to ensure data quality, integrity, and security end-to-end. Create and maintain data models aligned with business needs.
Collaborate with data scientists, analysts, and software engineers to support advanced analytics and machine learning use cases.
Automate ingestion, transformation, and data delivery processes, monitor and optimize cost and performance of resources.
Implement best practices for DataOps and Data Governance.