GCP Data Engineer - Diverse Linx
Atlanta, GA
About the Job
Role:- GCP Data Engineer
Location- Duluth, GA Onsite role/No Remote
Duration- Fulltime/Permanent
Note: Video call on Thu, 10/10 : 3 PM -5 PM EST
Job Description:
At least 8 years of overall experience in building ETL/ELT, data warehousing and big data solutions.
At least 5 years of experience in building data models and data pipelines to process different types of large datasets.
Experience in building data warehouse using Cloud Technologies such as AWS or GCP Services, and Cloud Data Warehouse preferably Google BigQuery.
In depth knowledge in Big Data solutions
Strong SQL knowledge able to translate complex scenarios into queries.
Strong Programming experience in Java or Python
Experience in Google Cloud platform (especially BigQuery & Dataflow)
Experience with Google Cloud SDK & API Scripting
Experience in Onsite-Offshore coordination
Experience in Test Driven Development
Experience in Agile processes and DevOps methodologies.
Google Cloud Professional Data Engineer Certification is an advantage.
Google Cloud Big Query, Pub/ Sub, Dataflow, Composer DAGs, Cloud storage
CI/CD GitHub, Jenkins
Experience in NoSQL Databases is an added advantage.
Experience of Retail domain will be an added advantage.
Experience Required:
At least 8 years of overall experience in building ETL/ELT, data warehousing and big data solutions.
At least 5 years of experience in building data models and data pipelines to process different types of large datasets.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Location- Duluth, GA Onsite role/No Remote
Duration- Fulltime/Permanent
Note: Video call on Thu, 10/10 : 3 PM -5 PM EST
Job Description:
At least 8 years of overall experience in building ETL/ELT, data warehousing and big data solutions.
At least 5 years of experience in building data models and data pipelines to process different types of large datasets.
Experience in building data warehouse using Cloud Technologies such as AWS or GCP Services, and Cloud Data Warehouse preferably Google BigQuery.
In depth knowledge in Big Data solutions
Strong SQL knowledge able to translate complex scenarios into queries.
Strong Programming experience in Java or Python
Experience in Google Cloud platform (especially BigQuery & Dataflow)
Experience with Google Cloud SDK & API Scripting
Experience in Onsite-Offshore coordination
Experience in Test Driven Development
Experience in Agile processes and DevOps methodologies.
Google Cloud Professional Data Engineer Certification is an advantage.
Google Cloud Big Query, Pub/ Sub, Dataflow, Composer DAGs, Cloud storage
CI/CD GitHub, Jenkins
Experience in NoSQL Databases is an added advantage.
Experience of Retail domain will be an added advantage.
Experience Required:
At least 8 years of overall experience in building ETL/ELT, data warehousing and big data solutions.
At least 5 years of experience in building data models and data pipelines to process different types of large datasets.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Source : Diverse Linx
