Description

You will design, build, and optimize scalable data pipelines and warehousing solutions.

This role is remote.

Responsibilities

• Design and optimize ETL pipelines to extract, transform, and load large volumes of data.
• Implement scalable data warehousing solutions using dimensional modeling and optimized data models.
• Develop advanced SQL queries for complex data manipulation, transformation, and aggregation.
• Automate data processing tasks to ensure accuracy, consistency, and security across pipelines.
• Monitor and troubleshoot ETL processes, data pipelines, and models to resolve performance bottlenecks.

Required Skills

• 10+ years of experience in ETL development and data warehousing.
• Deep proficiency in Python.
• Advanced SQL skills for data manipulation and query optimization.
• Extensive experience with ETL frameworks and data pipeline optimization.
• Expertise in data warehouse architecture and dimensional modeling.
• Experience managing and processing large-scale datasets.
• Hands-on experience with cloud platforms, specifically GCP.
• Strong problem-solving skills for addressing pipeline bottlenecks and production issues.

Preferred Skills

• Familiarity with BigQuery.
• Relevant certifications in ETL, data engineering, or cloud platforms.

Key Skills

Education

Any Graduate