Developer - Data Engineer (GCP)

We are looking for an experienced Data Engineer with strong Google Cloud Platform (GCP) expertise to design, develop, and operate scalable cloud-based data solutions. The ideal candidate will combine strong GCP cloud and platform engineering, modern data engineering, Apache Kafka, Google Bigtable, and Scala/Java development skills. The role requires someone who can contribute to technical architecture, cloud automation, data platform design, and production-grade data pipelines., * Design, develop, and implement scalable data engineering solutions on GCP.

• Build and maintain cloud-native data platforms and architectures.
• Design data ingestion, transformation, and orchestration processes.
• Develop production-grade data pipelines and applications using Scala and/or Java.
• Design, implement, and maintain CI/CD pipelines using GitHub Workflows / GitHub Actions.
• Implement Infrastructure as Code (IaC) using Terraform.
• Support cloud architecture, automation, and DevOps practices.
• Design and manage event-driven data architectures using Apache Kafka.
• Perform Kafka platform design, administration, configuration, and setup.
• Work with Google Bigtable, including design, implementation, tuning, and operational activities.
• Collaborate with Data Engineers and Product Teams to understand requirements and deliver technical solutions.
• Participate in and conduct technical design reviews.
• Ensure solutions are scalable, reliable, secure, and maintainable.
• Contribute to continuous improvement of the organization’s cloud and data engineering practices.

Google Cloud & Platform Engineering

• Strong hands-on experience with Google Cloud Platform (GCP).
• Strong experience with Terraform and Infrastructure as Code.
• Experience designing and implementing CI/CD pipelines.
• Hands-on experience with GitHub Workflows / GitHub Actions.
• Strong understanding of cloud architecture.
• Experience with cloud automation and DevOps practices.

Data Engineering

• Experience designing and implementing scalable data solutions on GCP.
• Strong understanding of data ingestion patterns.
• Experience with data transformation and orchestration.
• Strong understanding of modern data platform architectures.
• Experience building production-grade data pipelines.

Messaging & Streaming

• Strong experience with Apache Kafka.
• Experience with Kafka platform design, administration, and setup.
• Understanding of event-driven architectures.

Databases

• Hands-on experience with Google Bigtable.
• Experience with Bigtable design and implementation.
• Experience with Bigtable performance tuning and operations.

Development

• Strong development skills in Scala and/or Java.
• Experience developing production-grade applications.
• Experience developing production-grade data pipelines.

Additional Requirements

• Ability to perform and contribute to technical design reviews.
• Strong communication and interpersonal skills.
• Ability to work closely with Data Engineers and Product Teams.
• Strong analytical and problem-solving skills.
• Ability to work independently while collaborating effectively within a technical team., The ideal candidate is a hands-on GCP Data Engineer with a strong combination of cloud platform engineering and data engineering expertise. They should be comfortable working across the full data platform stack-from GCP infrastructure and Terraform through CI/CD, Kafka streaming, Bigtable, and application/data-pipeline development in Scala or Java. Experience with technical architecture and the ability to communicate effectively with both technical and product stakeholders will be highly valued.