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GCP Data Engineer at Remote, Remote, USA
Email: [email protected]
Hello Associate,   

Hope you are doing well

We have the below requirement open. Please send me your genuine
candidate on my email ID 
[email protected]

Position : 
GCP Data Engineer

Location : 
Lansing, MI onsite

Duration : Long Term

VISA: No CPT, H1B

Primary Skills : Terraform, Big Query, Bigtable,

Job
Responsibilities:

Minimum of 4+ years of experience as a Data Engineer, with a strong focus on
GCP or similar cloud providers like Azure and AWS.

  Extensive hands-on
experience with GCP services or other clouds(Azure, AWS) and tools such as
Terraform, Big Query, Bigtable, Google Cloud Storage, Pub Sub, Data Fusion,
Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer, Tekton, and Vertex
AI.

Proficiency in designing and implementing large-scale data solutions
using GCP services, ensuring scalability, reliability, and performance.

Strong knowledge of data integration, transformation, and
processing techniques, leveraging GCP services and tools.

Experience with infrastructure automation using Terraform for
GCP resource provisioning and management.

Solid understanding of CI/CD practices and experience with
Tekton and other relevant tools for building data engineering pipelines.

In-depth knowledge of data storage and retrieval mechanisms
using GCP services such as Big Query, Bigtable, and Google Cloud Storage.

Familiarity with data orchestration and workflow management
using GCP services like Dataproc, Cloud Build, and Airflow.

Strong proficiency in big data technologies, including HDFS,
Hive, Sqoop, Spark, PySpark, Scala, and Python.

Proven experience in building end-to-end machine learning
pipelines and deploying ML models in production.

Familiarity with ML frameworks such as TensorFlow, PyTorch, or
Scikit-learn.

Good Python programming skills

--

Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology Idaho Michigan
[email protected]
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Thu Nov 02 20:24:00 UTC 2023

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Location: Lansing, Michigan