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Senior Staff - GCP Data Engineer
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Equinix, Inc
Romeoville, IL (In Person)
Full-Time
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Job Description
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 SummaryAs 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 FunctionsBuild real-time streaming data pipelines using Cloud Pub/Sub, Kafka and DataflowImplement automated data quality checks and monitoring across all data workflowsOptimize pipeline performance and cost efficiency through proper resource allocation and schedulingArchitect and implement data lake and data warehouse solutions using Dataproc, BigQuery, Cloud Storage, and Cloud SQLDesign optimal data models, partitioning strategies, and clustering for analytical workloadsManage data lifecycle policies and implement automated archival and retention strategiesEnsure data security, encryption, and access control across all storage layersBuild and optimize BigQuery datasets for analytics and reporting use casesCreate and maintain dimensional models and fact tables for business intelligenceImplement data marts and aggregation layers for improved query performanceSupport self-service analytics through proper data cataloging and documentationHaving good knowledge of Dataplex and Analytics hubIntegrate data from various sources including databases, APIs, SaaS applications, and file systemsImplement change data capture (CDC) solutions for real-time data synchronizationWork with third-party data providers and external data feedsImplement comprehensive monitoring and alerting using Cloud Monitoring and Cloud LoggingTroubleshoot data pipeline issues and implement robust error handling mechanismsMaintain data lineage documentation and impact analysis capabilities
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.
We use artificial intelligence in our hiring process. Learn more here.
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 SummaryAs 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 FunctionsBuild real-time streaming data pipelines using Cloud Pub/Sub, Kafka and DataflowImplement automated data quality checks and monitoring across all data workflowsOptimize pipeline performance and cost efficiency through proper resource allocation and schedulingArchitect and implement data lake and data warehouse solutions using Dataproc, BigQuery, Cloud Storage, and Cloud SQLDesign optimal data models, partitioning strategies, and clustering for analytical workloadsManage data lifecycle policies and implement automated archival and retention strategiesEnsure data security, encryption, and access control across all storage layersBuild and optimize BigQuery datasets for analytics and reporting use casesCreate and maintain dimensional models and fact tables for business intelligenceImplement data marts and aggregation layers for improved query performanceSupport self-service analytics through proper data cataloging and documentationHaving good knowledge of Dataplex and Analytics hubIntegrate data from various sources including databases, APIs, SaaS applications, and file systemsImplement change data capture (CDC) solutions for real-time data synchronizationWork with third-party data providers and external data feedsImplement comprehensive monitoring and alerting using Cloud Monitoring and Cloud LoggingTroubleshoot data pipeline issues and implement robust error handling mechanismsMaintain data lineage documentation and impact analysis capabilities
Qualifications Technical SkillsGCP Services:
6+ years hands-on experience withBigQuery, Cloud Dataflow Cloud Composer, Cloud Storage, Cloud Pub/Sub, Dataform/dbt and Cloud FunctionsProgramming:
Proficiency in Python/Java and SQL; experience with Spark/Beam developmentData Technologies:
Strong understanding of Apache Beam, Apache Airflow, and distributed computing conceptsDatabase Systems:
Experience with both RDBMS (Cloud SQL, PostgreSQL, MySQL) and NoSQL (Bigtable, Firestore) databasesInfrastructure asCode:
Experience with Terraform, Cloud Deployment Manager, or similar tools Professional ExperienceBachelor's degree in computer science, Engineering, or related field7+ years of experience in data engineering or related roles6+ years of specific experience with Google Cloud PlatformExperience with version control systems (Git) and CI/CD pipelinesKnowledge of data modelling techniques and dimensional modellingPreferred QualificationsGoogle Cloud Professional Data Engineer certificationExperience with containerization (Docker, Kubernetes/GKE)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.
We use artificial intelligence in our hiring process. Learn more here.