GCP Data Engineer

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 solutionsStrong SQL knowledgeable to translate complex scenarios into queries.Strong Programming experience in Java or PythonExperience in Google Cloud platform (especially BigQuery & Dataflow)Experience with Google Cloud SDK & API ScriptingExperience in Onsite-Offshore coordinationExperience in Test Driven DevelopmentExperience in Agile processes and DevOps methodologies.Google Cloud Professional Data Engineer Certification is an advantage.Google CloudBig Query, Pub/ Sub, Dataflow, Composer DAGs, Cloud storageCI/CDGitHub, JenkinsExperience 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.

Salary Range -

$67,100-$130,000 a year