Staff - GCP Data Engineer
Equinix (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 0m ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL/ELT data pipelines and analytics solutions on Google Cloud Platform.
- Build and optimize data lakes, data warehouses, and streaming data pipelines using GCP services such as BigQuery, Dataflow, Cloud Composer, and Cloud Pub/Sub.
- Implement data quality checks, security, data lifecycle management, and monitoring for all data workflows to support business intelligence and self-service analytics.
Minimum Requirements
- 6+ years of experience in data engineering or related roles, with 4+ years specifically on Google Cloud Platform.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Strong hands-on experience with GCP services including BigQuery, Cloud Dataflow, Cloud Composer, Cloud Storage, Cloud Pub/Sub, Dataform/dbt, and Cloud Functions.
- Proficiency in Python or Java programming languages, SQL, and experience with Apache Beam, Apache Airflow, and distributed computing concepts.
Ideal Candidate Profile
- Experienced in building and optimizing large-scale cloud-native data infrastructure and pipelines on GCP.
- Familiar with data modeling (dimensional modeling), data governance, and compliance frameworks relevant to enterprise data environments.
- Skilled in infrastructure as code tools (Terraform or similar) and version control / CI-CD pipelines for deployment automation and operational efficiency.