Description

Design and scale data warehouse architectures to process massive volumes of data.

Responsibilities

• Collaborate with product owners to define data and processing requirements for new analytics capabilities.
• Build ETL and analytics solutions designed for massive scalability, performance, and reliability.
• Develop cloud-based data warehouse architectures and evaluate core technologies.
• Mentor junior team members and establish development best practices.

Required Skills

• 5+ years of experience in data warehousing or big data processing.
• Strong SQL and analytical skills with deep understanding of OLAP and ETL concepts.
• Expertise in dimensional modeling.
• Experience with Apache Hive and Hadoop.
• Proficiency in Python and JVM-based languages.
• Experience with cloud-based ETL and Platform-as-a-Service vendors.
• Experience using Linux and scripting tools.
• Degree in Computer Science or an equivalent field.

Key Skills

Education

Any Graduate