Consultant - GCP Engineer | 4 - 6 Years | Bangalore

Hiring a hands-on GCP Engineer with strong experience in Google Cloud Platform (GCP), BigQuery, and dbt. This is an excellent opportunity for professionals who enjoy building scalable cloud-based data solutions, developing data transformation workflows, optimizing data models, and ensuring data quality and reliability.

Location : Bangalore (Hybrid)

Experience : 4 - 6 Years

Your Future Employer :

A leading global AI and Analytics organization offering an opportunity to work on advanced data engineering, cloud data platforms, analytics, and AI-driven solutions for global clients.

Responsibilities :

- Design, develop, and maintain scalable data pipelines and cloud-based data solutions using Google Cloud Platform (GCP).

- Work extensively with Google BigQuery for data storage, processing, transformation, and analytical workloads.

- Develop and maintain data transformation workflows using dbt (data build tool).

- Write, optimize, and maintain complex SQL queries to support efficient data processing and analytics.

- Build, maintain, and optimize data models to support reporting, analytics, and business requirements.

- Implement data quality checks, testing, and validation to ensure data accuracy, consistency, and reliability.

- Optimize BigQuery queries and data models for performance, scalability, and cost efficiency.

- Troubleshoot data pipeline issues and resolve data transformation and processing errors.

- Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver effective data solutions.

- Follow best practices for version control, documentation, testing, deployment, and data governance.

Requirements :

- 4 - 6 years of hands-on experience in Data Engineering, Cloud Data Platforms, or a related field.

- Strong practical experience with Google Cloud Platform (GCP).

- Hands-on experience with Google BigQuery, including SQL development and query optimization.

- Strong experience with dbt for data transformation, data modelling, and testing.

- Proficiency in SQL, including complex queries, joins, aggregations, and performance optimization.

- Good understanding of data warehousing concepts, data modelling, and ETL/ELT processes.

- Experience in developing, maintaining, and troubleshooting data pipelines.

- Knowledge of data quality, validation, testing, and data governance practices.

- Strong analytical, problem-solving, and communication skills.

- Immediate joiners preferred and willingness to work in a hybrid setup in Bangalore.

What is in it for you :

- Opportunity to work on cloud-based data engineering and analytics solutions.

- Exposure to Google Cloud Platform, BigQuery, and modern data transformation technologies.

- Opportunity to build scalable data pipelines and optimize data processing workflows.

- Collaboration with experienced data and analytics professionals on global client projects.