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GCP Data Engineer
We are seeking an experienced GCP Data Engineer to design, build and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in modern data warehousing, ETL/ELT development and data transformation using DBT (Data Build Tool).
Key Responsibilities:
- Design and develop scalable data pipelines using GCP services such as BigQuery, Cloud Storage, Dataflow, and Composer.
- Build and maintain data transformation models using DBT, ensuring adherence to best practices, testing, and documentation.
- Develop and optimize ELT processes to ingest, transform, and serve data for analytics and reporting.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
- Monitor, troubleshoot, and improve data pipeline performance, reliability, and cost efficiency.
- Implement data quality, governance, and security standards across data platforms.
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Required Skills & Experience:
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- 5+ years of experience in Data Engineering.
- Strong hands-on experience with Google Cloud Platform (GCP), particularly BigQuery.
- Proven expertise in DBT for data modelling, testing, and deployment.
- Strong SQL skills and experience with data warehousing concepts.
- Experience with Python and/or Spark for data processing.
- Familiarity with CI/CD practices, version control (Git), and Agile delivery methodologies.
- Excellent problem-solving and stakeholder communication skills.
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