Data Engineer

Location: Junobeach, FL (Day one onsite)

Experience: 8+ Years

Must-have skillsets: Capabilities of understanding object-oriented programming, ETL processes, and standard methods package management and deployment strategies

General Skillset and Expectations:

Expectations: Primary duties will include day-to-day troubleshooting of forecasting systems. Generally, this involves efficiently working through data anomalies that cause inaccurate forecasts and/or failure of forecasts to be generated. When not supporting data and system issues, candidate will engage with the data science team to enhance existing forecasting systems for the trade floors. The candidate should be able to create dynamic object-oriented methods, full stack solutions, and integrations to existing code solutions. This candidate is expected to create individual Python classes, methods, and functions that support the data flow of existing and new projects. These code additions would seamlessly support projects for data flows, and include logging and support without minimal to no supervision. This candidate would additionally have experience with changes in packages, testing, and repository instances to support CI/CD.

Qualifications:

• Advanced knowledge of Python Object Oriented Programming
• CI/CD
• GitHub Experience
• Libraries Pandas / Numpy
• Python SQL Connectors Flask / Django
• Python Decorators
• Experience with parsing APIs
• Be able to parse markup languages XML JSON
• Multi-threading / Multi-processing
• Significant knowledge of SQL Database Normalization & Creation PostGres / MySQL Any relational database flavor
• Query Optimization
• Nice to have Distributed systems Apache Spark Snowflake Cloud AWS Athena Docker