Description

Design and maintain scalable ETL/ELT processes and data pipelines on GCP. Build and optimize data warehouses and lakes to support analytical needs.

Responsibilities

• Develop and maintain scalable ETL/ELT processes and data pipelines.
• Build and optimize data warehouses, data lakes, and storage solutions.
• Implement data quality checks and monitoring for accuracy and consistency.
• Perform data modeling, schema design, and performance tuning on large datasets.
• Create data models optimized for BI tools and dashboard consumption.

Required Skills

• 5+ years of experience in data engineering or ETL development.
• Proficiency in Python for data processing and pipeline scripting.
• Advanced SQL skills for complex queries and optimization.
• Hands-on experience with Google Cloud Platform (GCP).
• Strong expertise in BigQuery for data warehousing.
• Deep understanding of ETL/ELT processes and data engineering concepts.
• Experience with data modeling and schema design.

Key Skills

Education

Any Graduate