$ cat jobs/senior-staff-gcp-data-engineer-equinix-inc-569c9971f824.json
Senior Staff - GCP Data Engineer
Who are we? Equinix is the world's digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. Help us challenge assumptions, uncover bias, and remove barriers-because progress starts with fresh ideas. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work. ob Summary As a key member of the Data Team at Equinix, we are seeking a skilled GCP Data Engineer who will be responsible for end-to-end development of Data Engineering use cases, Equinix Data Lake platform and tools. You will design, build, and maintain scalable data infrastructure and analytics solutions on Google Cloud Platform. The ideal candidate will have strong expertise in cloud-native data technologies and a passion for building robust, efficient data pipelines that drive business insights. Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Cloud Dataflow, Cloud Composer (Apache Airflow), Dataform/dbt and Cloud Functions Build real-time streaming data pipelines using Cloud Pub/Sub, Kafka and Dataflow Implement automated data quality checks and monitoring across all data workflows Optimize pipeline performance and cost efficiency through proper resource allocation and scheduling Architect and implement data lake and data warehouse solutions using Dataproc, BigQuery, Cloud Storage, and Cloud SQL Design optimal data models, partitioning strategies, and clustering for analytical workloads Manage data lifecycle policies and implement automated archival and retention strategies Ensure data security, encryption, and access control across all storage layers Build and optimize BigQuery datasets for analytics and reporting use cases Create and maintain dimensional models and fact tables for business intelligence Implem
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