Google Cloud Platform data engineer

Overview

On Site
Full Time

Skills

python
Github
GCP Data engineer

Job Details

Google Cloud (Google Cloud Platform) data engineer
Richardson, TX
Fulltime

Required Qualifications:

  • At least 4 years of Information Technology experience.

  • Experience working with technologies like Google Cloud Platform with data engineering data flow / air flow, pub sub/ kafta, data proc/Hadoop, Big Query.

  • ETL development experience with strong SQL background such as Python/R, Scala, Java, Hive, Spark, Kafka

  • Strong knowledge on Python Program development to build reusable frameworks, enhance existing frameworks.

  • Application build experience with core Google Cloud Platform Services like Dataproc, GKE, Composer,

  • Deep understanding Google Cloud Platform IAM & Github.

  • Must have done IAM set up

  • Knowledge on CICD pipeline using Terraform in Git.

Preferred Qualifications:

  • Good knowledge on Google Big Query, using advance SQL programing techniques to build Big Query Data sets in Ingestion and Transformation layer.

  • Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data

  • Knowledge on Airflow Dag creation, execution, and monitoring.

  • Good understanding of Agile software development frameworks

  • Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams.

  • Experience and desire to work in a global delivery environment.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.