Google Cloud Platform Data Engineer

Equinix; Bengaluru; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Equinix seeks a Senior GCP Data Engineer in Bengaluru to design, build, and maintain scalable data pipelines on Google Cloud Platform. The role emphasizes data lake/warehouse architecture, data quality, security, and governance to enable robust analytics.

The ideal candidate has 6+ years in data engineering, strong Python/Java and SQL skills, and hands-on experience with BigQuery, Dataflow, Airflow, and related GCP services. Join a team enabling enterprise-scale data insights.

Qualifications

• Minimum 6+ years in data engineering or related roles.
• 4+ years of hands-on Google Cloud Platform experience.
• Experience with Python/Java and SQL.
• Familiar with Apache Beam, Apache Airflow.
• Experience with RDBMS and NoSQL databases.
• Git and CI/CD pipelines experience.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines.
• Create real-time streaming pipelines with Pub/Sub, Kafka, Dataflow.
• Implement data quality checks and monitoring.
• Optimize pipelines for performance and cost.
• Architect data lake and data warehouse with Dataproc, BigQuery, Cloud Storage, Cloud SQL.
• Design data models, partitioning, clustering for analytics.
• Define data lifecycle, archival, retention policies.
• Ensure data security and access control.
• Build and optimize BigQuery datasets for analytics.
• Document data lineage and governance.

Skills

Python/Java

SQL

Data modeling

Education

Bachelor's degree in Computer Science or related field

Tools

BigQuery

Cloud Dataflow

Apache Airflow

Terraform

Job description

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.

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.

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
• 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

Qualifications

• GCP Services: 4+ 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
• 6+ years of experience in data engineering or related roles
• 4+ years of specific experience with Google Cloud Platform
• Experience with version control systems (Git) and CI/CD pipelines
• Knowledge of data modeling techniques and dimensional modeling

Preferred Qualifications

• Google Cloud Professional Data Engineer certification
• Experience 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. Learn more here.

Experience Level Senior Level