Senior GCP Data Engineer
Sales Consulting · București, Romania · hybrid
Responsibilities:Data Engineering & Architecture:
- Design, develop, and maintain scalable data platforms and pipelines using Google Cloud services.
- Implement data ingestion, transformation, and orchestration workflows using: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Cloud SQL / PostgreSQL
- Define data models, partitioning strategies, and storage architectures optimized for large-scale analytics.
- Implement batch and near real-time data processing solutions.
BigQuery Engineering:
- Design, optimize, and maintain BigQuery datasets, tables, views, and data marts.
- Develop complex BigQuery SQL solutions for analytics and operational reporting.
- Optimize query performance, storage costs, partitioning, clustering, and workload management.
- Establish best practices for BigQuery governance, security, and performance monitoring.
PostgreSQL Engineering:
- Design and develop PostgreSQL database solutions on GCP.
- Create and optimize database schemas, indexes, stored procedures, and PL/pgSQL code.
- Perform database performance tuning, capacity planning, and troubleshooting.
- Support migration and modernization of legacy databases to PostgreSQL.
Cloud Migration & Modernization:
- Support migration of legacy Oracle workloads to PostgreSQL and BigQuery.
- Assess existing database architectures and recommend modernization approaches.
- Collaborate with application teams to refactor data solutions for cloud-native environments.
- Ensure data integrity, security, and operational readiness during migrations.
Data Governance & Security:
- Implement IAM controls, encryption, auditing, and data protection standards.
- Apply data governance and compliance requirements across the cloud platform.
Collaboration:
- Participate in architecture reviews, code reviews, and engineering standards definition.
- Collaborate with product owners, architects, analysts, and platform teams to deliver business value.
SkillsMust have:
- Minimum 5 years of hands-on experience working with relational and analytical databases
- Minimum 1 year of hands-on experience with Google BigQuery (GCP)
- Proven expertise in Google BigQuery (GCP), with the ability to build, manage, and optimize data solutions in a cloud environment.
- Proven expertise in PostgreSQL administration and development, including schema design, data integrity, performance monitoring, and troubleshooting.
- Proficiency with GitHub for version control and collaborative development.
Nice to have:
- Experience migrating Oracle databases to PostgreSQL and/or BigQuery.
- Oracle SQL and PL/SQL knowledge.
- Experience with Ora2pg or similar migration tooling.
- Google Cloud Professional Data Engineer certification.
- Google Cloud Professional Cloud Architect certification.
- Experience with Terraform.
- Experience with containerized deployments using Docker and Kubernetes (GKE).
- Experience with Airflow / Cloud Composer.
- Experience with data governance, metadata management, and data quality frameworks.
- Experience with Google Cloud Dataflow for building and managing data processing pipelines.
- Experience with Google Cloud Dataproc for big data processing and analytics workloads.
- Experience with Google Cloud Pub/Sub for event-driven architectures and real-time data streaming.
- Python for data engineering, automation, data processing, and scripting tasks.