Description

Key Skills: Bigquery, SQL, Warehousing, ETL, Data Engineering, Data modeling, Python, GCP, Data quality, Data Governance, Automation

Roles and Responsibilities:

• Design, develop, and maintain data pipelines using Google BigQuery.
• Implement ETL processes for data extraction, transformation, and loading across systems.
• Ensure data quality, integrity, and governance across data platforms.
• Collaborate with cross-functional teams to align data engineering solutions with business needs.
• Optimize data workflows and improve system performance.
• Manage and process large datasets efficiently in cloud environments.
• Provide solutions to technical challenges across multiple teams.
• Mentor junior team members and support their technical growth.
• Drive automation initiatives to streamline data engineering processes.

Skills Required:

• Proficiency in BigQuery is required.
• Strong knowledge of SQL is required.
• Experience in data warehousing is required.
• Experience in ETL processes is required.
• Strong understanding of data engineering is required.
• Experience in data modeling is required.
• Proficiency in Python is required.
• Experience with GCP is required.
• Understanding of data quality is required.
• Knowledge of data governance is required.
• Experience in automation is required.

Education: Bachelor's Degree in related field

Key Skills

Education

Any Graduate