Job Description:

We are looking for an experienced AWS GCP Data Engineer to design, develop, and optimize modern cloud-based data platforms. The ideal candidate should possess strong expertise in data engineering, cloud technologies, data modeling, and data pipeline development.

Responsibilities:

- Design and develop scalable data pipelines on AWS and GCP.

- Build and optimize ETL/ELT workflows.

- Develop and maintain DBT models and transformations.

- Implement Airflow workflows and scheduling solutions.

- Work closely with business and technical teams to deliver data solutions.

- Ensure data quality, governance, and security standards.

- Optimize BigQuery performance and cost management.

- Implement CI/CD practices for data engineering projects.

Required Skills:

- 8+ years of experience in Data Engineering.

- Hands-on experience with AWS services:

1. IAM

2. Lambda

3. S3

4. RDS

5. Redshift

- Strong GCP experience:

1. BigQuery

2. Performance optimization

3. Cost management

- DBT Cloud experience.

- Airflow workflow development.

- Advanced SQL and Python.

- Data modeling (Facts, Dimensions, SCDs).

- GitHub, Bitbucket, CI/CD.

- Terraform or CloudFormation.

- Data quality frameworks.

Good to Have:

- Cross-cloud data pipeline experience.

- Cloud security and IAM best practices.

Education:

- BE/BTech/MCA/ME/MTech/MSc (Computer Science or IT).