Experience
6 - 11 yrs
Job Location
India
Vacancy
1
Designation
Senior Data Engineer
Job Type
Not specified
Job Description
D
We are looking for a Senior Data Engineer with deep expertise in DBT (Data Build Tool)
and Google BigQuery to help us with the migration from a legacy IBM DataStage
environment. This role is critical to modernizing our data infrastructure and enabling
scalable, cloud-native data transformation workflows. The ideal candidate will have a
strong foundation in data modeling, ETL/ELT architecture, and cloud data engineering,
along with excellent communication and collaboration skills.
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 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.
We are looking for a Senior Data Engineer with deep expertise in DBT (Data Build Tool)
and Google BigQuery to help us with the migration from a legacy IBM DataStage
environment. This role is critical to modernizing our data infrastructure and enabling
scalable, cloud-native data transformation workflows. The ideal candidate will have a
strong foundation in data modeling, ETL/ELT architecture, and cloud data engineering,
along with excellent communication and collaboration skills.
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 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
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
No Referrers Available
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