GCP Data Engineer - BigQuery & Dataflow Expert | Remote

Reliable Group Paragon; United States; Remote; USD 12,000 - 22,000; Full time

Job summary

Reliable Group Paragon in Pune/Remote is seeking an experienced GCP Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform. The role requires hands-on experience with BigQuery, Dataflow, Airflow, Python, and SQL, and working with large distributed data processing systems.

You will collaborate with analytics and engineering teams to deliver robust data solutions using modern cloud-native architectures and CI/CD practices.

Qualifications

• Ideal candidate has 4+ years in data engineering or ETL development.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines on GCP.
• Build and optimize pipelines using BigQuery, Dataflow, and Airflow/Cloud Composer.
• Develop data processing solutions using Python and SQL.
• Work with large datasets and distributed data processing environments.
• Design reliable, scalable, fault-tolerant data processing systems.
• Integrate data from multiple sources into cloud-based data platforms.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Implement data quality, validation, monitoring, and error-handling mechanisms.
• Collaborate with engineering, analytics, and other teams to deliver data solutions.

Skills

ETL/ELT

GCP

BigQuery

Dataflow

Airflow

Python

SQL

Kubernetes

CI/CD

Vertex AI

Distributed systems

Data warehousing

Job description

Reliable Group Paragon in Pune/Remote is seeking an experienced GCP Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform. The role requires hands-on experience with BigQuery, Dataflow, Airflow, Python, and SQL, and working with large distributed data processing systems.

You will collaborate with analytics and engineering teams to deliver robust data solutions using modern cloud-native architectures and CI/CD practices.