GCP Data Engineer: Scalable Pipelines & Real-Time Data

Arkhya Tech Inc.; North Carolina; On-site; USD 120,000 - 155,000; Full time

Job summary

Arkhya Tech Inc. in the United States is seeking a software/data engineer to design and build scalable data pipelines and cloud-based services.

You will implement transformations in Python/Beam and Java/Spring, ensure robust testing, and maintain high-performance microservices running on Google Cloud Platform.

Collaborate with cross-functional teams, document solutions, and contribute to DevOps enablement with CI/CD pipelines and monitoring.

Qualifications

• Experience designing data pipelines and ETL in cloud environments.
• Proficiency with Java/Spring and Python/Beam for transformations.
• Familiar with microservices architecture and cloud platforms (GCP preferred).
• Knowledge of DevOps tooling (Gradle, CI/CD, Jenkins, GitHub Actions).
• Ability to document solutions clearly and collaborate with technical and non-technical stakeholders.

Responsibilities

• Develop scalable data pipelines from on-prem systems to Google Cloud Platform services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Functions, Composer).
• Design, code, test, debug, and document for projects and programs in the technology domain.
• Build and maintain high-quality, high-performance software.
• Develop transformation libraries in Python/Beam (e.g., SCD patterns, data quality checks, masking/tokenization).
• Design, develop and maintain high-performance Java-based applications.
• Collaborate with stakeholders and support DevOps through CI/CD pipelines.

Skills

Java programming

Python programming

Beam / Dataflow

RESTful APIs

Microservices architecture

Cloud platforms

DevOps practices

Documentation

Stakeholder collaboration

Tools

Gradle

CI/CD

Jenkins

GitHub Actions

Kafka

Google Pub/Sub

BigQuery

Dataflow

Cloud Functions

Composer

Spring framework

Job description

Arkhya Tech Inc. in the United States is seeking a software/data engineer to design and build scalable data pipelines and cloud-based services.

You will implement transformations in Python/Beam and Java/Spring, ensure robust testing, and maintain high-performance microservices running on Google Cloud Platform.

Collaborate with cross-functional teams, document solutions, and contribute to DevOps enablement with CI/CD pipelines and monitoring.