Dbt

1 day ago

Pune Maharashtra, India Cognizant Full time

AIA-Chennai

**Job Summary**

6 years of experience in data engineering with at least 3 years handson 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 reverseengineer existing pipelines

Proficiency in Git CICD pipelines and dataOps practices

Excellent communication skills and ability to work independently

**Responsibilities**

Key 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 costefficient querying

Collaborate with stakeholders to understand existing pipelines and translate them into modern ELT workflows

Establish best practices for version control CICD 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 handson 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 reverseengineer existing pipelines

Proficiency in Git CICD 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 crossfunctional team collaboration

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