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GCP Data Engineer with Python
GCP Data Engineer with PythonSaransh Inc • Dearborn, MI, United States
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GCP Data Engineer with Python

GCP Data Engineer with Python

Saransh Inc • Dearborn, MI, United States
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Role : GCP 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 GCP, Python, and ETL tools.

Required Technical Skills :

  • Minimum 3+ years of hands-on experience with Google Cloud Platform (GCP), 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 GCP 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 GCP, 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 GCP Cloud to deploy scalable applications and services.
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