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.