GCP Data Engineer

Extensive experience with Google Cloud Platform (GCP) and its data services, including

BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.

· Proven track record of designing and building scalable data pipelines and architectures.

· Experience with ETL tools and processes.

· Design, develop, and maintain robust and scalable data pipelines using GCP services such as Dataflow, Pub/Sub, Cloud Functions, and Cloud Composer.

· Implement ETL (Extract, Transform, Load) processes to ingest data from various sources into GCP data warehouses like BigQuery.

Technical Skills:

· Proficiency in SQL and experience with database design and optimization.

· Strong programming skills in Python, Java, or other relevant languages.

· Experience with data modeling, data warehousing, and big data processing frameworks.

· Familiarity with data visualization tools (e.g., Looker, Data Studio) is a plus.

· Knowledge of machine learning workflows and tools is an advantage.

Soft Skills:

· Strong analytical and problem-solving skills.

· Excellent communication and collaboration abilities.

· Ability to work in a fast-paced environment and manage multiple tasks concurrently.

· Leadership skills and experience mentoring junior engineers.