Senior GCP Data Engineer - 8 To 12 Years

Crescendo Global Leadership Hiring India; Pune District, Gurugram District, Bengaluru; Hybrid; INR 2,800,000 - 4,800,000; Full time

Job summary

Crescendo Global Leadership Hiring India seeks a Senior Data Engineer to lead migration of SAS-based data platforms and ETL processes to Google Cloud Platform. You will design, develop, and optimize cloud-native data pipelines ensuring data quality, scalability, security, and compliance.

Requirements include 8-12 years in data engineering, 3+ years on GCP/BigQuery, 2+ years with DBT, and prior large-scale data migration experience. Produce SAS-to-DBT specs and maintain technical documentation.

Qualifications

• 8-12 years of experience in Data Engineering.
• Minimum 3+ years of experience on GCP and BigQuery.
• Minimum 2+ years of hands-on experience with DBT.
• Experience in large-scale data migration or modernization programs.

Responsibilities

• SAS-to-DBT conversion specifications.
• DBT transformation models.
• BigQuery data pipelines and tables.
• Source-to-target mappings.
• Data reconciliation reports.
• Data quality validation frameworks.
• Technical and operational documentation.

Skills

Data engineering

GCP

BigQuery

DBT

ETL design

Education

Bachelor's degree

Master's degree

Tools

DBT

BigQuery

GCP

Job description

We are seeking a highly skilled Senior Data Engineer to support the migration of SAS-based data platforms, ETL processes, reporting datasets, and analytical workloads to Google Cloud Platform (GCP) using DBT. The role involves designing, developing, optimizing, and supporting cloud-native data pipelines while ensuring data quality, scalability, security, and compliance.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
• 8-12 years of experience in Data Engineering.
• Minimum 3+ years of experience on GCP and BigQuery.
• Minimum 2+ years of hands-on experience with DBT.
• Experience in large-scale data migration or modernization programs.

Key Deliverables

• SAS-to-DBT conversion specifications.
• DBT transformation models.
• BigQuery data pipelines and tables.
• Source-to-target mappings.
• Data reconciliation reports.
• Data quality validation frameworks.
• Technical and operational documentation.