Job Title

JOB DESCRIPTIONKey Responsibilities: Prior experience in migrating from IBM DataStage to DBT and BigQuery or similar data migration activities into the cloud solutions. Design and implement modular, testable, and scalable DBT models aligned with business logic and performance needs. Optimize and manage BigQuery datasets, partitioning, clustering, and cost-efficient querying. Collaborate with stakeholders to understand existing pipelines and translate them into modern ELT workflows. Establish best practices for version control, CI/CD, testing, and documentation in DBT. Provide technical leadership and mentorship to team members during the migration process. Ensure high standards of data quality, governance, and security.Required Qualifications: 6+ years of experience in data engineering, with at least 3+ years hands-on with DBT and BigQuery. Strong understanding of SQL, data warehousing, and ELT architecture. Experience with data modeling (especially dimensional modeling) and performance tuning in BigQuery. Familiarity with legacy ETL tools like IBM DataStage and ability to reverse-engineer existing pipelines. Proficiency in Git, CI/CD pipelines, and dataOps practices. Excellent communication skills and ability to work independently and collaboratively.Preferred Qualifications: Experience in cloud migration projects (especially GCP). Knowledge of data governance, access control, and cost optimization in BigQuery. Exposure to orchestration tools like Airflow. Familiarity with Agile methodologies and cross-functional team collaboration.