Senior GCP Developer

We are looking for a Senior GCP Developer with 7-10 years of experience in software development, data engineering, and cloud-native solutions. The candidate should have strong hands-on expertise in GCP, advanced BigQuery SQL, Python, and GCP-native data services.

The ideal candidate will be capable of designing scalable cloud data solutions, leading technical implementation, troubleshooting complex production issues, and mentoring other developers.

Key Responsibilities

• Design, develop, and maintain scalable GCP-native data and application solutions.

• Design and implement complex ETL/ELT pipelines using GCP services.

• Develop highly optimized and complex BigQuery SQL queries, stored procedures, views, and data transformations.

• Analyze and optimize BigQuery performance, cost, partitioning, clustering, and query execution.

• Develop robust Python applications and data-processing frameworks.

• Design and implement pipelines using Google Cloud Dataflow / Apache Beam.

• Design event-driven architectures using Google Cloud Pub/Sub.

• Build and manage complex workflows using Cloud Composer / Apache Airflow.

• Design data storage and ingestion solutions using Google Cloud Storage.

• Implement monitoring, logging, alerting, retry mechanisms, and failure recovery for production pipelines.

• Perform root-cause analysis and resolve complex production and performance issues.

• Define and enforce development standards, coding practices, and cloud architecture patterns.

• Collaborate with architects, developers, data engineers, DevOps teams, and business stakeholders.

• Mentor junior and mid-level developers and provide technical guidance.

• Participate in code reviews and technical design discussions.

• Contribute to CI/CD, automation, security, and infrastructure-as-code initiatives.

Required Skills

• 7-10 years of professional software/data engineering experience.

• Strong hands-on experience with Google Cloud Platform (GCP).

• Advanced expertise in BigQuery and SQL, including query optimization and performance tuning.

• Strong Python development experience.

• Extensive experience with GCP-native services, including:

• Dataflow / Apache Beam

• Pub/Sub

• Cloud Composer

• Apache Airflow

• Cloud Storage

• Strong understanding of distributed systems and cloud-native architectures.

• Strong experience designing and implementing ETL/ELT data pipelines.

• Experience with production deployments, monitoring, troubleshooting, and performance optimization.

• Strong understanding of GCP IAM, service accounts, networking, and security best practices.

• Experience with Git, CI/CD, and DevOps practices.

Preferred Skills

• Experience with Terraform / Infrastructure as Code.

• Experience with Docker and Kubernetes/GKE.

• Experience designing event-driven and serverless architectures.

• Experience with Cloud Run, Cloud Functions, or other GCP compute services.

• Experience with Data Catalog / Dataplex or enterprise data governance.

• Experience implementing CI/CD using Cloud Build, GitHub Actions, Jenkins, or similar tools.

• Familiarity with data warehouse architecture and dimensional modeling.

• Experience with Agile/Scrum methodologies.

Senior-Level Expectations

• Lead technical design and implementation of GCP solutions.

• Make architecture and technology recommendations.

• Identify opportunities for performance and cost optimization.

• Lead troubleshooting of complex production issues.

• Conduct code/design reviews and establish engineering best practices.

• Mentor and guide junior and mid-level team members.

• Communicate effectively with technical and non-technical stakeholders.