
GCP Cloud Data Architect
3 days ago
Transforming data into valuable insights is at the heart of this role. As a GCP Data Engineer, you will play a crucial part in designing and developing scalable data pipelines and ETL processes using Google Cloud services such as BigQuery, Cloud Data Fusion, Dataflow, Pub/Sub, Cloud Storage, Composer ,Cloud Function, and Cloud RUN.
Key Responsibilities- Develop efficient data integration solutions to ingest, process, and store large volumes of structured and unstructured data from various sources.
- Implement data models, schemas, and metadata to support data analytics and reporting, ensuring data quality and integrity through validation, cleansing, and transformation processes.
- Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to data workflows.
- Stay up-to-date with the latest GCP technologies and best practices, providing recommendations for continuous improvement and mentoring junior data engineers.
Requirements
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 4-6 years of experience in data engineering, with a strong focus on GCP services.
- Proficiency in GCP services, including BigQuery, Cloud Data Fusion, Dataflow, Pub/Sub, Cloud Storage, Composer ,Cloud Function, and Cloud RUN.
- Strong programming skills in Python and PLSQL, with experience in SQL and NoSQL databases.
- Familiarity with data warehousing concepts and best practices.
- Excellent problem-solving and analytical skills, with strong communication and collaboration abilities.
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