Posted 13 June, 2026
GCP Engineer --Bangalore, Hyderabad, Chennai
Diverse Lynx
BANGALORE,560100
Full Time
Reference: 365_569689_25-01752
Hiring for GCP Engineer -- Bangalore, Hyderabad, Chennai
Experience: 4+ Years
About Us:Strong hands-on experience with Google Cloud Platform, data engineering best practices, and the ability to design, build, and optimize scalable data pipelines. You will collaborate with cross-functional teams to deliver innovative solutions that meet business objectives.
Responsibilities:
- Data Pipeline Development & Management:
- Design, develop, and manage scalable and reliable data pipelines on Google Cloud Platform (GCP).
- Use Google Cloud Storage, BigQuery, Dataflow, and Pub/Sub to build high-performing, real-time data ingestion and ETL pipelines.
- Implement data quality checks and ensure the integrity and consistency of data flowing through the system.
- Data Warehousing:
- Design, implement, and maintain BigQuery data warehouses, including schema design, partitioning, and optimization.
- Create and maintain automated scripts for data loading, processing, and validation.
- Data Integration & Transformation:
- Integrate and transform data from diverse sources (cloud storage, relational databases, APIs, etc.) into GCP services.
- Work with the team to design and implement data models, data marts, and other reporting structures in BigQuery.
- Performance Optimization:
- Optimize queries, database performance, and cloud resource usage (e.g., BigQuery, Dataflow) to reduce cost and increase efficiency.
- Utilize Cloud Composer for orchestration of data pipelines.
- Collaboration & Stakeholder Management:
- Work closely with data scientists, analysts, and business stakeholders to define data needs and provide data-driven solutions.
- Document workflows, design patterns, and best practices for the team.
- Monitoring & Troubleshooting:
- Set up monitoring, alerting, and logging for data pipelines and infrastructure using tools like Stackdriver and Cloud Monitoring.
- Troubleshoot and resolve issues related to data quality, performance, and reliability in the pipeline.
- Tools & Technologies:
- Proficiency in BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud Composer.
- Experience with Apache Beam, Kafka, and other streaming technologies is a plus.
- Strong working knowledge of SQL for querying and transforming large datasets.
- Soft Skills:
- Strong problem-solving and troubleshooting skills.
- Excellent communication skills, with the ability to work collaboratively in a cross-functional environment.
- Ability to document processes and technical decisions for both technical and non-technical stakeholders