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Aws Gcp Data Engineer Senior Consultant

💼 Full-time🗓 2026-07-29

Core

Design, develop, and optimize scalable cloud-based data platforms and pipelines on AWS and GCP.

Role type

Senior IC data engineer (multi-cloud)

Builds

Production data pipelines, ETL/ELT workflows, and data models

Domain

Cloud data engineering (AWS/GCP)

Deliverable

production ML models | product features

Required skills

AWS services (IAM, Lambda, S3, RDS, Redshift), GCP (BigQuery, performance optimization, cost management), DBT, Airflow, Advanced SQL, Python, Data modeling (Facts, Dimensions, SCDs), CI/CD, Terraform/CloudFormation, Data quality frameworks

Preferred skills

Cross-cloud data pipeline experience, Cloud security and IAM best practices

Technologies

AWS, GCP, BigQuery, DBT, Airflow, Terraform, CloudFormation

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; Ensure data quality, governance, and security standards; Optimize BigQuery performance and cost management; Implement CI/CD practices for data engineering projects

Seniority

Senior, hands-on IC

Rewrite
## About the role 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: - IAM - Lambda - S3 - RDS - Redshift - Strong GCP experience: - BigQuery - Performance optimization - 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).
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