GCP Data Engineer

Infosys PontoonRichardson, TX
Onsite

About The Position

This role requires a GCP Data Engineer with 4 to 6 years of experience in Data Engineering, including at least 4 years specifically within GCP. The engineer will be responsible for complex SQL queries, utilizing GCP services such as BigQuery, Dataflow, Cloud Storage, PubSub, Composer, and Dataproc. Experience with ETL/ELT pipelines using custom scripting tools like Python and Java is essential. A key aspect of the role involves refactoring and translating legacy logic from Teradata to GCP. Familiarity with CI/CD, GIT, Argo CD, and DevOps practices in cloud data environments is also required, along with strong analytical, troubleshooting, and communication skills.

Requirements

  • 4 to 6 years of experience in Data Engineering.
  • At least 4 years of experience in GCP.
  • Strong hands-on experience in complex SQLs.
  • Solid knowledge of GCP services: BigQuery, Dataflow, Cloud Storage, PubSub, Composer, and Dataproc.
  • Experience with ETL/ELT pipelines using custom scripting tools: Python, Java.
  • Proven ability to refactor and translate legacy logic from Teradata to GCP.
  • Familiarity with CI/CD, GIT, Argo CD, and DevOps practices in cloud data environments.
  • Strong analytical, troubleshooting, and communication skills.

Nice To Haves

  • Python [Pandas]

Responsibilities

  • Proven ability to refactor and translate legacy logic from Teradata to GCP.
  • Strong hands on experience in complex SQLs.
  • Solid knowledge of GCP services BigQuery, Dataflow, Cloud Storage, PubSub, Composer, and Dataproc.
  • Familiarity with CICD, GIT, Argo CD, and DevOps practices in cloud data environments.
  • Strong analytical, troubleshooting, and communication skills.
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