Senior Data Engineer /Architect

Qcentum Technologies
Qcentum Technologies

Job Overview

Essential Job Functions Design and develop Data-warehouse Data Lake solutions on Google Cloud Platform Design, code, and construct data models, ETL processes Automate deploy ETL jobs Design, implement, test data intensive business applications The Data Architect Senior Data Developer will play a key role in in the Design and Development of Data Warehouse Data Lake ETL solutions on Google Cloud Platform (GCP). You should look at data holistically and ensure that applications, data analysis, modeling, ETL and Business Intelligence work in harmony to fulfill the business strategy. You should thrive on new technical challenges and help innovate our products, technology stack development processes. Knowledge, skills, and abilities required Proficient in development with PythonSQL Developing large scale ETL pipelines Developing REST APIs to data sources. Writing build automation to deploy and manage cloud resources. Expertise in data warehouse modeling and implementation Experience in Big Data technology stack (BigQuery preferred) Experience in LeanAgile software development approach and DevOps integration for CICD Experience with OracleMySQL, PLSQL (primarily for understanding existing datasets) Experience with LinuxUnix Good verbal and written communication skills Highly proactive and innovative Job location Boston. (May Initial start working from home due to COVID)Senior Data Engineer /Architect 1

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