
Unlock Scalable Data Architectures
1 week ago
Job Title: GCP Data Engineer
We are seeking a seasoned data engineer to craft scalable data pipelines and architectures on Google Cloud Platform (GCP).
- Design and implement highly scalable, reliable, and secure data pipelines on GCP using Google Cloud Storage (GCS), BigQuery, and Apache Airflow.
- Develop robust Extract-Transform-Load/Extract-Load-Transform processes using Python and integrate with data orchestration tools.
- Collaborate with data analysts, data scientists, and stakeholders to understand data requirements and deliver high-quality solutions.
- Orient BigQuery performance through efficient schema design, partitioning, clustering, and query optimization.
- Manage and maintain data lake and data warehouse environments ensuring data integrity and availability.
- Automate and monitor data pipelines to ensure consistent and reliable data delivery.
- Contribute to architecture decisions and ensure adherence to data governance and security standards.
- Prior experience working with cloud-based data platforms and scalable data architectures is required.
- Excellent understanding of data processing frameworks, data storage systems, and distributed computing technologies.
- Strong knowledge of data modeling, data warehousing, and business intelligence principles.
- Experience with data integration tools such as Apache Beam, Apache Spark, and AWS Glue is a plus.
- Proficiency in programming languages such as Python, Java, or Scala.
Benefits:
- Opportunity to work with cutting-edge technologies and contribute to innovative projects.
- Collaborative and dynamic work environment with experienced professionals.
- Professional growth and development opportunities.
About the Role:
This is an exciting opportunity for a skilled data engineer to join our team and help shape the future of our data infrastructure.
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