Requirements

• Conducting quantitative and qualitative data analysis of new data
• Develop, document, and test the functional requirements and processes needed to Match / Link the new data to existing Canopy data sources
• Develop, document, and test the functional requirements and processes needed to incorporate the new data into Products
• Produce summaries of findings, insights, and recommendations. All recommendations and findings must be supported by facts/data
• Develop expertise in Canopy business rules and provide guidance on the overall impact of business rule changes to systems (downstream impacts)
• Understand data transformation, validation, and maintenance rules/edits
• Understand data flows from one system to another - feeds into and extracts from the production databases
• Recommend changes to existing business rules to improve the overall data quality and performance of data asset
• Implement data transformation pipelines in Big Data Platform (Python is a must, Spark, Scala knowledge may come in handy)
• Assisting Data Developers in establishing connectivity and automation for data sourcing
• Data science including data querying in SQL
• Query, process and analyze large data sets
• Data reconciliation 

Skill Required

• Bachelor's degree in Computer Science or Software Engineering.
• 5 - 7 years of Python experience in software/applications development with Django/Flask, Rest API, SQL
• At least 3 years of experience in data analysis and solution design
• Expert knowledge of Python and related frameworks including Django and Flask.
• A deep understanding and multi-process architecture and the threading limitations of Python
• Scala (optional)
• Ability to write complex SQL queries (preferable experience in DWH)
• DWH platforms