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GCP Data Engineer

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Job Location drjobs

Richardson, TX - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Position: GCP Data Engineer

Location: Richardson TX

Duration: Long term contract

Interview: F2F (Face to Face)/Onsite

Job Summary:

We are seeking an experienced Google Cloud Platform (GCP) Data Engineer to design build and optimize data pipelines and analytics solutions. The ideal candidate will have hands-on expertise with GCP services ETL/ELT processes and big data technologies enabling the delivery of scalable and high-performance data solutions.

Key Responsibilities:

  • Design develop and maintain data pipelines and ETL/ELT workflows using GCP services such as BigQuery Dataflow Pub/Sub Data Fusion Dataproc and Cloud Storage.
  • Build and optimize data warehouses and data lakes on GCP.
  • Collaborate with data scientists analysts and business stakeholders to deliver data models that meet business needs.
  • Implement data quality governance and security best practices.
  • Monitor and troubleshoot pipeline performance using Cloud Monitoring and Cloud Logging.
  • Automate data workflows and improve efficiency using Python SQL and scripting tools.
  • Stay updated on emerging GCP services and recommend adoption where beneficial.

Required Skills & Qualifications:

  • Bachelors degree in Computer Science Data Engineering or related field.
  • 5 years of experience as a Data Engineer with hands-on GCP experience.
  • Strong skills in SQL and Python.
  • Experience with BigQuery and at least two of the following: Dataflow Pub/Sub Data Fusion Dataproc Cloud Composer.
  • Knowledge of data modeling data warehousing and big data architectures.
  • Experience with batch and streaming data processing.
  • Understanding of IAM data security and compliance requirements.

Preferred Qualifications:

  • GCP Professional Data Engineer or Associate Cloud Engineer certification.
  • Experience with Apache Beam Kafka or similar streaming frameworks.
  • Familiarity with CI/CD pipelines for data engineering workflows.
  • Exposure to machine learning data preparation pipelines.

Employment Type

Full-time

Company Industry

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