Data Warehouse Engineer

• Work with engineering and business stakeholders to understand data requirements
• Build and refine data flow and ETL processes
• Performing data cleansing and enhancing data quality
• Produce and maintain strong documentation
• Take action with quality, performance, scalability, and maintainability in mind
• Work in a collaborative, fast paced Agile team environment

You must have:

• 5+ years of experience with designing, building and maintaining scalable ETL pipelines
• good understanding of data warehousing concepts and modeling techniques
• Hands-on experience automating repetitive tasks in any scripting language preferably python
• Hands-on experience satisfying data needs using Spark SQL
• Ability to dig deeper into the issues of the ETL pipelines, understand the business logic and provide permanent fixes
• Desire to learn about new tools and technologies