Data Engineer

Key Responsibilities:

• Develop and maintain ETL pipelines using Cloud Dataflow, Cloud Dataproc, and Apache Beam.
• Design and optimize BigQuery data models for efficient querying and analytics.
• Implement data ingestion from various sources using Cloud Pub/Sub and Cloud Storage.
• Ensure data quality, integrity, and security across all systems.
• Monitor and troubleshoot data pipeline performance issues.
• Automate workflows and data processes for scalability.
• Collaborate with cross-functional teams to support business intelligence and analytics needs.

Qualifications:

• 5+ years of experience in data engineering or related roles.
• Strong proficiency in SQL, Python, or Java for data processing.
• Hands-on experience with GCP services like BigQuery, Dataflow, and Pub/Sub.
• Knowledge of data modeling, warehousing, and ETL best practices.
• Experience with CI/CD pipelines and version control (GIT).
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Would you like me to tailor this further based on specific industry requirements? You can also check out this resource for more details on GCP Data Engineer roles