Overview
On Site
Depends on Experience
Contract - W2
Skills
Extract
Transform
Load
Cloud Storage
Google Cloud Platform
Data Engineering
Data Warehouse
ELT
Data Flow
Good Clinical Practice
Scripting
SQL
Teradata
BTEQ
Job Details
Role: Google Cloud Platform Data Engineer/ Architect Location: Irving, TX (Onsite) Long term contract
Must have:
Google Cloud Platform Big Query
Cloud Storage
Data Flow, Dataproc, and Composer (Airflow)
Job Description
Experience in Data architecting,
Google Cloud Platform 4 to 6 years of experience in Data Engineering,
Strong hands on experience in Teradata data warehousing, BTEQ, and complex SQL.
Solid knowledge of Google Cloud Platform services BigQuery, Dataflow, Cloud Storage, PubSub, Composer, and Dataproc.
Experience with ETL ELT pipelines using custom scripting tools PythonJava.
Proven ability to refactor and translate legacy logic from Teradata to Google Cloud Platform.
Familiarity with CICD
Data architecting, with at least 2 years in Google Cloud Platform. 4 to 6 years of experience in Data Engineering, with at least 2 years in Google Cloud Platform.
Strong handson experience in Teradata data warehousing, BTEQ, and complex SQL. Solid knowledge of Google Cloud Platform services BigQuery, Dataflow, Cloud Storage, PubSub, Composer, and Dataproc. Experience with ETL ELT pipelines using custom scripting tools PythonJava.
Proven ability to refactor and translate legacy logic from Teradata to Google Cloud Platform
Must have:
Google Cloud Platform Big Query
Cloud Storage
Data Flow, Dataproc, and Composer (Airflow)
Job Description
Experience in Data architecting,
Google Cloud Platform 4 to 6 years of experience in Data Engineering,
Strong hands on experience in Teradata data warehousing, BTEQ, and complex SQL.
Solid knowledge of Google Cloud Platform services BigQuery, Dataflow, Cloud Storage, PubSub, Composer, and Dataproc.
Experience with ETL ELT pipelines using custom scripting tools PythonJava.
Proven ability to refactor and translate legacy logic from Teradata to Google Cloud Platform.
Familiarity with CICD
Data architecting, with at least 2 years in Google Cloud Platform. 4 to 6 years of experience in Data Engineering, with at least 2 years in Google Cloud Platform.
Strong handson experience in Teradata data warehousing, BTEQ, and complex SQL. Solid knowledge of Google Cloud Platform services BigQuery, Dataflow, Cloud Storage, PubSub, Composer, and Dataproc. Experience with ETL ELT pipelines using custom scripting tools PythonJava.
Proven ability to refactor and translate legacy logic from Teradata to Google Cloud Platform
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