Senior GCP Data Engineer

Brainworks Business Solutions; Bengaluru; On-site; INR 2,200,000 - 3,500,000; Full time

Job summary

Brainworks Business Solutions in Bengaluru seeks a Senior GCP Data Engineer with 8+ years of experience to design and maintain scalable data pipelines on Google Cloud Platform, leveraging Python, Airflow and Looker. The role focuses on building robust data workflows, analytics solutions, and data governance across cloud-native services.

You will design, develop, and optimize ETL/ELT pipelines, ensure data quality and security, and collaborate with analysts and engineers to deliver scalable data

Qualifications

• 8+ years of data engineering experience.
• Strong hands-on with GCP, Python, Airflow and Looker.
• Experience designing scalable ETL/ELT data pipelines and analytics solutions.

Responsibilities

• Design, develop, and maintain scalable data pipelines on GCP.
• Develop data engineering solutions using Python.
• Build, schedule, monitor, and troubleshoot data workflows with Airflow.
• Work with GCP data services to optimize data solutions.
• Develop Looker-based reporting and analytics.

Skills

GCP

Python

Apache Airflow

Looker

Data Engineering

Data Pipelines

ETL/ELT

Job description

Senior GCP Data Engineer

Job Summary

We are looking for a Senior GCP Data Engineer with 8+ years of experience in data engineering and strong hands-on expertise in GCP, Python, Airflow, and Looker. The candidate will be responsible for developing and maintaining scalable data pipelines, data workflows, and analytics solutions on the Google Cloud Platform.

Mandatory Skills

• GCP
• Python
• Apache Airflow
• Looker
• Data Engineering
• Data Pipelines
• ETL/ELT

Experience

8+ Years

Location

Bangalore

Roles & Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on GCP.
• Develop data engineering solutions using Python.
• Build, schedule, monitor, and troubleshoot data workflows using Apache Airflow.
• Work with various GCP data services to develop and optimize data solutions.
• Develop and support Looker-based reporting and analytics solutions.
• Ensure data quality, reliability, performance, and scalability of data pipelines.
• Troubleshoot pipeline failures and production data issues.
• Optimize existing data workflows and improve overall pipeline performance.
• Collaborate with data analysts, business teams, and other engineering teams to deliver data solutions.
• Follow best practices for cloud security, data governance, version control, and deployment.