
Cloud Data Engineer Leader
2 weeks ago
Design and build scalable data processing systems that ensure data is accessible, reliable, and optimized for analytics and machine learning initiatives. Collaborate with cross-functional teams to drive business growth through effective data management.
Key Responsibilities:- Develop ETL/ELT pipelines using Cloud Dataflow, Apache Beam, and Cloud Dataprep.
- Implement real-time data streaming solutions using Cloud Pub/Sub or Apache Kafka.
- Manage and optimize storage solutions such as BigQuery, Cloud Storage, and Cloud Spanner.
- Design efficient data models and schemas for structured and unstructured data.
Required Skills and Qualifications:
- Proficiency in Python, SQL, and optionally Java or Scala.
- Experience with GCP services: BigQuery, Cloud Dataflow, Cloud Storage, Cloud Composer, etc.
- Strong understanding of data warehousing, data modeling, and ETL processes.
- Familiarity with real-time data processing and streaming architectures.
- Knowledge of data governance, security, and compliance standards.
- Bachelor's degree in Computer Science, Engineering, or related field.
- GCP Professional Data Engineer certification (preferred).
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