Develop and optimize data pipelines and workflows on GCP using BigQuery, dbt, and Airflow. Responsibilities include data modeling, advanced SQL, BigQuery tuning and cost management, dbt governance, data quality testing, CI/CD, infrastructure as code, cloud security and IAM best practices, and cross-cloud pipeline development. The role also requires maintaining dimensional models, SCDs, macros, and Airflow workflows.
Our Technology & Transformation practice
can help you uncover and unlock the value buried deep inside vast amounts of
data. Our global network provides strategic guidance and implementation
services to help companies manage data from disparate sources and convert it
into accurate, actionable information that can support fact-driven
decision-making and generate an insight-driven advantage. Our practice
addresses the continuum of opportunities in business intelligence &
visualization, data management, performance management and next-generation
analytics and technologies, including big data, cloud, cognitive and machine
learning.
Requirements
Key Skills Required
- 5 + years of
experience in GCP expertise
- Must Have
skills: DBT + Airflow
- GCP:
BigQuery, optimization and cost management
- DBT Cloud
experience (models, SCDs, tests, macros)
- DBT
governance
- Airflow
optimization
- Data
Engineering Tooling
- Data
pipeline development
- Advanced SQL
- Airflow
workflows , GitHub, Bitbucket, CI/CD tools, Terraform or
CloudFormation
- Data quality
frameworks
- Python
- Data
modelling (facts/dimensions, SCDs)
- Cloud
security and IAM best practices
- BigQuery
tuning
- Cross-cloud
pipelines
Qualifications:
- B. E. / B. Tech / MCA / M.E / M. Tech / MSc in Computer
Science.
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