Senior Data Consultant with GCP

Your tasks

• Your responsibilities will include performance tuning and optimization of existing solutions, building and maintaining ETL pipelines, as well as testing and documenting current data flows


• You will also be involved in implementing tools and processes to support data-related projects and promoting the best development standards across the team


• Design, build, test and deploy Cloud and on-premise data models and transformations in Cloud Native or dedicated toolset


• Optimize data views for specific visualization use cases making use of schema design partitions, indexes, down-sampling, archiving, etc. to manage trade-offs such as performance and flexibility


• Review and refine, interpret and implement business and technical requirements


• Ensure you are part of the on-going productivity and priorities by refining User Stories, Epics and Backlogs in Jira


• Onboarding new data sources, design, build, test and deploy Cloud data ingest, pipelines, warehouse and data models/products

Your skills

• At least 4-5 years of commercial experience as a Data Engineer


• Strong Python and PySpark skills


• Strong hands-on experience with SQL and query optimization


• Experience with GCP Cloud toolset


• Experience with ETL/ELT pipelines development, testing,and management


• Strong experience with Hadoop


• Understanding of key concepts around Data Warehousing, Data Lakes and Data Lakehouses

Nice to have

• Experience with Java/Scala

This possibility applies to work on a B2B basis.