ETL Developer

Design, develop, and maintain scalable and robust ETL/ELT processes and data pipelines using various tools and technologies. Build and optimize data warehouses, data lakes, and other data storage solutions to support analytical and operational needs.

• Design, develop, and maintain scalable and robust ETL/ELT processes and data pipelines using various tools and technologies.
• Build and optimize data warehouses, data lakes, and other data storage solutions to support analytical and operational needs.
• Implement data quality checks and monitoring to ensure the accuracy, completeness, and consistency of data.
• Work with large datasets, performing data modeling, schema design, and performance tuning.
• Create data models that are easy for BI tools to consume and build dashboard.

Qualifications needed:

• Proficiency in Python, SQL and data engineering concepts.

Technologies used :

• Google internal tools

Platform/Tools used :

GCP, BigQuery.