Job Title: Google Cloud Platform Data Engineering Lead (BigQuery & Data Pipelines)
Work Location: Madison, WI 53783
Hybrid(Face to Face Interview)
Contract duration: 12
Minimum years of experience 8-10 years
Certifications Needed :Google External certification
Must Have Skills:
Google Cloud Platform (Google Cloud Platform) services, such as BigQuery, CloudRun, CloudStorage, PubSub, Cloud Composer, Workflows Python SQL ,Terraform, CICD , Git flows
Nice to have skills:
Google Cloud Platform
Python
Job Description:
At least 8+ years of experience with Information Technology
5+ years of experience in Google Cloud Platform (Google Cloud Platform) services, such as
5+ BigQuery, CloudRun, CloudStorage, Pub/Sub, Cloud Composer, Workflows,
5+ IAM, Etc . Understanding of cloud-native solutions and architecture
5+ is critical
Strong knowledge and hands-on experience in as Python, SQL ,Terraform, CI/CD , Git flows, Attunity , AutoSys, Airflow Dag creation, execution, and monitoring Strong knowledge on Development, Production support, Debugging, and performance tuning Knowledge and Handson experience in AI Tools as well Effective communication skills for collaborating with global teams, including clear documentation practices and the ability to convey technical details to non-technical stakeholders.
Preferred Qualifications:
Good understanding of data integration, data quality, and data architecture Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data Good understanding of Agile software development frameworks Experience in Insurance domain preferable
Top 3 responsibilities you would expect the Subcon to shoulder and execute
- Good understanding of data integration, data quality and data architecture
- Good understanding of Agile software development frameworks
- Experience in Insurance domain preferable
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