Relomote
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Senior GCP Data Engineer

Sales ConsultingData & Analytics
Hiring from
Romania
Work type
Hybrid
Posted
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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.

Skills

Must 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.

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