GCP Data Engineer

3 weeks ago

Southfield, Michigan, United States Stefanini North America and APAC Full time
  • We are looking for a highly skilled professional to design, develop, and maintain data processing systems on Google Cloud Platform (GCP) to handle large-scale datasets efficiently.
  • In this role, you will work closely with cross-functional teams to build and deploy robust data pipelines, ensuring data availability, accuracy, and accessibility for business analytics and insights.
  • Data Engineering Responsibilities:
    • Design and implement scalable data pipelines using Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Composer.
    • Develop data integration solutions to extract, transform, and load (ETL) data from various structured and unstructured data sources.
    • Collaborate with data scientists, analysts, and software engineers to optimize data workflows and ensure high-performance data processing.
    • Build and maintain automated processes for data ingestion, transformation, and analysis.
    • Write efficient, reusable, and reliable code primarily in Python or Java for data processing tasks.
    • Optimize and troubleshoot data pipelines for maximum reliability and performance.
    • Ensure data governance and security standards are implemented in all aspects of the data pipeline.
    • Implement and manage CI/CD pipelines for deploying and monitoring data workflows.
    • Work with the operations team to ensure the availability, reliability, and performance of data infrastructure.
    • Perform data quality checks, validation, and documentation.
  • Requirements:
    • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.
    • 3+ years of experience in a data engineering role, preferably with cloud platforms (Google Cloud Platform preferred).
    • Proficiency in Python or Java for developing data pipelines and ETL processes.
    • Strong experience with GCP services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Functions, Cloud Composer.
    • Hands-on experience with SQL and query optimization for processing large datasets.
    • Knowledge of Apache Beam or Apache Kafka is a plus.
    • Experience with version control (Git) and CI/CD pipelines (e.g., Jenkins, Cloud Build).
    • Familiarity with data modeling, schema design, and data warehousing concepts.
    • Strong problem-solving and troubleshooting skills.
    • Excellent communication and collaboration skills, with the ability to work in a team-oriented environment.

Preferred Qualifications:

  • Experience with other cloud platforms like AWS or Azure.
  • Knowledge of Terraform or other infrastructure-as-code tools.
  • Certification in Google Cloud Professional Data Engineer is a plus.
  • Exposure to machine learning workflows or data science projects.

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