What are the responsibilities and job description for the Google Cloud (Google Cloud Platform) Data Engineer position at Jobs via Dice?
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Job Role: Google Cloud (Google Cloud Platform) Data Engineer
Job Location: Richardson, TX or Woonsocket, RI
Job Type: Full Time
Job Description:
Client is seeking a Google Cloud (Google Cloud Platform) data engineer with experience in Github and Python. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will be responsible to interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
Candidate must be located within commuting distance of Richardson, TX or Woonsocket, RI or be willing to relocate to the area. This position may require travel in the US.
At least 7 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.
Good experience in end-to-end implementation of data warehouse and data marts.
Strong knowledge and hands-on experience in Python and SQL.
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
Job Role: Google Cloud (Google Cloud Platform) Data Engineer
Job Location: Richardson, TX or Woonsocket, RI
Job Type: Full Time
Job Description:
Client is seeking a Google Cloud (Google Cloud Platform) data engineer with experience in Github and Python. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will be responsible to interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
Candidate must be located within commuting distance of Richardson, TX or Woonsocket, RI or be willing to relocate to the area. This position may require travel in the US.
At least 7 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.
Good experience in end-to-end implementation of data warehouse and data marts.
Strong knowledge and hands-on experience in Python and SQL.
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
