Google Cloud Platform Data Engineer with Python - Info Dinamica Inc - Dearborn, MI, US | Dice.com

Info Dinamica Inc

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Google Cloud Platform Data Engineer with Python

Dearborn, MI, US • Posted 3 hours ago • Updated 3 hours ago

Contract Corp To Corp

Contract W2

Contract Independent

On-site

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Job Details

Skills

DB2
Python
teradata
Google Cloud Platform (GCP)
Astronomer/Composer for orchestration

Summary

Role: Google Cloud Platform Data Engineer with Python

Location: Dearborn, MI (4 days a week onsite)

Job Type: Contract

Experience: Overall 8 to 12 years

Job Summary:

The Data Engineer will be responsible for supporting the Credit Global Securitization (GS) team's upskilling initiative by contributing to data engineering efforts across cloud and traditional platforms.
This role is intended to accelerate development and delivery.
The engineer will work closely with cross-functional teams to build, optimize, and maintain data pipelines and workflows using Google Cloud Platform, Python, and ETL tools.

Required Technical Skills:

Minimum 3+ years of hands-on experience with Google Cloud Platform (Google Cloud Platform), specifically using Astronomer/Composer for orchestration.
Strong proficiency in Python for data engineering and automation.
Experience with RDBMS technologies such as DB2 and Teradata.
Exposure to Big Data ecosystems and distributed data processing.

Nice to have Technical Skills:

Prior experience with ETL tools like DataStage or Informatica.

Responsibilities:

The Data Engineer will play a key role in the developing and maintaining scalable data pipelines and workflows.
The engineer will work with Google Cloud Platform tools like Astronomer/Composer and leverage Python for automation and transformation tasks.
The role involves integrating data from RDBMS platforms such as DB2 and Teradata, and supporting ETL processes using tools like DataStage or Informatica.
The engineer will collaborate with existing team members, including Software Analysts and Scrum Masters, and will be expected to contribute to knowledge sharing and process improvement.

Specifically:

Develop and implement solutions using Google Cloud Platform, Python, Big Data technologies to enhance data analysis capabilities.
Collaborate with cross-functional teams to design and optimize data models in Teradata and DB2 environments.
Utilize Python for scripting and automation to streamline geospatial data processing tasks.
Integrate and manage data workflows using Cloud Composer to ensure efficient data pipeline operations.
Leverage Google Cloud Platform Cloud to deploy scalable applications and services.

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.

Dice Id: 91091604
Position Id: 2025-2921
Posted 3 hours ago

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