Equinix
From Equinix's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.
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.
Job 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.
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
Implement data marts and aggregation layers for improved query performance
Support self-service analytics through proper data cataloging and documentation
Having good knowledge of Dataplex and Analytics hub
Integrate data from various sources including databases, APIs, SaaS applications, and file systems
Implement change data capture (CDC) solutions for real-time data synchronization
Work with third-party data providers and external data feeds
Implement comprehensive monitoring and alerting using Cloud Monitoring and Cloud Logging
Troubleshoot data pipeline issues and implement robust error handling mechanisms
Maintain data lineage documentation and impact analysis capabilities
Technical Skills
GCP Services: 2+ years hands-on experience with BigQuery, Cloud Dataflow Cloud Composer, Cloud Storage, Cloud Pub/Sub, Dataform/dbt and Cloud Functions
Programming: Proficiency in Python/Java and SQL; experience with Spark/Beam development
Data Technologies: Strong understanding of Apache Beam, Apache Airflow, and distributed computing concepts
Database Systems: Experience with both RDBMS (Cloud SQL, PostgreSQL, MySQL) and NoSQL (Bigtable, Firestore) databases
Infrastructure as Code: Experience with Terraform, Cloud Deployment Manager, or similar tools
Professional Experience
Bachelor's degree in computer science, Engineering, or related field
2+ years of experience in data engineering or related roles
2+ years of specific experience with Google Cloud Platform
Experience with version control systems (Git) and CI/CD pipelines
Knowledge of data modelling techniques and dimensional modelling
Google Cloud Professional Data Engineer certification
Experience with data governance and compliance frameworks (GDPR, HIPAA, SOX)
Familiarity with business intelligence tools (Looker, Tableau, Power BI)
Experience with streaming technologies beyond GCP (Kafka, Spark Streaming)
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
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