Data Engineer - GCP

Role: Data Engineer

Total years of experience: 5-10 Years

Relevant experience for engagement: 5 Years

Relevant skillset:

Maintain architecture principles, guidelines and standards
Data Warehousing
Programming Language: Python/Java
Big Data
Data Analytics
GCP Services

Relevant technology domains:

Experience in designing & implementing solution in mentioned areas:
Strong Google Cloud Platform Data Components BigQuery, BigTable, CloudSQL, Dataproc, Data Flow, Data Fusion, Etc

Professional Summary

Technical Data Engineer who is strong on Data Warehousing, Big Data, Data Analytics
Experience with developing software code in one or more languages such as Java and Python.
Strong Google Cloud Platform Data Components BigQuery, BigTable, CloudSQL, Dataproc, Data Flow, Data Fusion, Etc
Demonstrate extensive skills and success in the implementation of technology projects within a professional environment, with a particular focus on data engineering
Hands on experience with Data Projects in cloud specifically GCP
Sound knowledge of Data related concepts
Demonstrated excellent communication, presentation, and problem solving skills.

Good to have skills
Good to have experience & knowledge of MPP systems, Database systems, ETL and ELT systems and Data Flow compute
Should be able to advise the best of breed for the client solutions; Skills Needed
The Data Engineer coaches the junior data engineering personnel position by bringing them up to speed and help them get better understanding of overall Data ecosystem.
Prior experience developing, building and deploying on GCP
Working on Solution deck, IP build, client meetings on requirement gathering

Certifications:

Google Professional Cloud architect