Gcp Data Engineer

1. GCP Data Engineer :

Experience:

• 5+ years of experience in data engineering, with a focus on cloud-based solutions.
• 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.