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Equinix
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Staff GCP Data Engineer

Staff GCP Data Engineer

Equinix

5 - 10 years

19 - 22 Lacs

bengaluru

Posted:3 hours ago| Platform:

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Skills Required

python scala airflow java spark cloud dataflow composer bigquery kafka dataform cloud pub/sub docker dbt apache beam kubernetes

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Summary

As a key member of the Data Team at Equinix, we are seeking an experienced GCP Data Engineer who will lead end-to-end development of complex Data Engineering use cases and drive the evolution of Equinix's Data Lake platform
You will design and build enterprise-scale data infrastructure and analytics solutions on Google Cloud Platform while providing technical mentorship to the data engineering team
The ideal candidate combines deep technical expertise in cloud-native data technologies with proven leadership skills and a passion for building robust, scalable data platforms that drive strategic business insights

Responsibilities

Participate in design and implementation of enterprise-scale data pipelines and platform architecture for End-to-End data products
Develop fault-tolerant, petabyte-scale data processing systems using advanced GCP services
Evaluate and recommend new technologies, tools, and architectural approaches
Build complex ETL/ELT workflows using Cloud Dataflow, Composer, Dataform/dbt, BigQuery and custom solutions
Implement sophisticated real-time streaming architectures with Cloud Pub/Sub, Kafka and Apache Beam
Design and optimize data processing workflows for performance, cost, and reliability
Develop advanced data transformation logic and custom processing functions
Implement data architectures and microservices-based data platforms
Design multi-environment deployment strategies and automated scaling solutions
Establish monitoring, alerting, and observability frameworks across the data platform
Lead code reviews and establish quality assurance processes
Provide technical guidance on complex problem-solving and optimization techniques
Facilitate knowledge sharing sessions and technical training programs
Collaborate with hiring managers on technical interviews and team expansion
Implement comprehensive data governance frameworks and compliance controls
Design fine-grained access controls and data classification systems
Establish automated data quality monitoring and lineage tracking
Ensure GDPR, SOX, and other regulatory compliance across data workflows
Implement privacy-preserving techniques and data anonymization strategies
Translate complex business requirements into scalable technical solutions
Coordinate cross-functional initiatives involving multiple engineering teams

Qualifications

Technical Expertise

GCP Services: 5+ years hands-on experience with BigQuery (advanced SQL, scripting, ML integration), Cloud Dataflow, Cloud Composer, Cloud Storage, Pub/Sub, and Vertex AI
Programming: Expert-level Python/Java programming, proficiency in Python/Scala for Spark development
Advanced Technologies: Deep experience with Apache Beam, Airflow, Kubernetes, Docker, and distributed computing
Infrastructure: Extensive experience with Terraform, CI/CD pipelines, and cloud infrastructure management
Database Systems: Advanced knowledge of both relational and NoSQL databases, data modeling, and performance optimization

Professional Experience

Bachelors or masters degree in computer science, Engineering, or related field
5+ years of data engineering experience with 4+ years specifically on Google Cloud Platform
Proven track record of delivering complex, enterprise-scale data solutions
Experience with data governance, compliance, and security frameworks
Excellent written and verbal communication skills with ability to present to executives
Experience working with cross-functional projects and managing stakeholder relationships
Proven ability to translate business requirements into technical solutions

Preferred Qualifications

Google Cloud Professional Data Engineer certification
Experience with MLOps, feature stores, and machine learning pipeline development
Knowledge of data science workflows and statistical analysis
Experience with BI tools (Looker, Tableau) and advanced analytics platforms

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