Design, build, and manage scalable data pipelines using GCP services such as Dataflow, BigQuery, Cloud Storage, Pub/Sub, and Cloud Composer.
Collaborate with data scientists, analysts, and application teams to design effective data models and architectures.
Develop ETL/ELT workflows and data transformations using tools like Apache Beam, SQL, Python, or Java.
Ensure high data quality, reliability, and performance across all data platforms.
Implement data governance, security, and compliance best practices.
Monitor and troubleshoot data pipeline performance, errors, and SLAs.
Optimize cost and performance of data processing and storage.
Participate in code reviews and contribute to best practices for data engineering.
