Senior Data Engineer GCP - 8 to 12 Years - Hybrid - Pan India

Senior Data Engineer GCP - 8 to 12 Years - Hybrid / Offshore - Pan India

We are looking for an experienced Senior Data Engineer with strong expertise in GCP, BigQuery, DBT, SQL, Python, and PySpark to support large-scale SAS data platform migration and modernization initiatives.

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.

Reach us: If you think this role aligns with your career aspirations, kindly share your updated CV at hidden_email for a confidential discussion.

Disclaimer: Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging and memorable hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note: Due to high application volumes, please assume your profile has not been shortlisted if you do not hear back within 1 week. Your patience is highly appreciated.

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Keywords : Senior Data Engineer | GCP | Google Cloud | BigQuery | DBT | Data Engineering | SAS Migration | SAS Modernization | PySpark | Python | SQL | ETL | ELT | Data Migration | Data Warehouse | Cloud Data Engineering .