
GCP Data Engineer
9 hours ago
- ng, transformation, and performance tuning.
- Experience with Apache Airflow for orchestration of data workflows.
- Familiarity with CI/CD pipelines and version control (e.g., Git).
- Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications:
- GCP Professional Data Engineer certification.
- Experience with data modeling and data warehousing concepts.
- Exposure to other cloud platforms (AWSJob Summary:
- We are seeking a highly skilled and experienced GCP Data Engineer to join our dynamic data engineering team. The ideal candidate will have a strong background in Google Cloud Platform (GCP), Airflow, Python, and SQL, with a proven track record of building scalable data pipelines and solutions in cloud environments.
- Key Responsibilities:
- Design, develop, and maintain scalable and robust data pipelines on GCP using Cloud Dataflow, BigQuery, Pub/Sub, and Cloud Composer (Airflow).
- Build and optimize ETL workflows to ingest, transform, and store large volumes of structured and unstructured data.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.
- Implement data quality checks, monitoring, and alerting mechanisms.
- Ensure data security, compliance, and governance best practices are followed.
- Optimize performance and cost-efficiency of data pipelines and storage solutions.
- Required Skills:
- Strong experience with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), etc.
- Proficiency in Python for scripting and data manipulation.
- Advanced SQL skills for data queryi, Azure) is a plus.
- Knowledge of containerization (Docker, Kubernetes) is an advantage.
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