- Team is focused on developing big data projects
- They don’t use cloud services such as Google or AWS due to client’s sensitivity in Data - so currenting operating off a on-premise cloud - utilizing all big data frameworks and dealing with Terabytes of data
Duties/Day to Day Overview
- 6 hours of coding
- 2 hours collaboration with team
- This role requires partnering continuously with many stakeholders and global teams daily to stay focused on common goals. This includes coordinating with internal and external teams
Top Requirements
- Python programming language handling Big Data
- Experience with Django and/or Flask
- Experience with PySpark
- Experience with implementing Data Science algorithms
- Experience with data munging/wrangling would be good to have
- Experience using third-party Python libraries including Pandas, Pyarrow, Numpy, etc.
- Experience with ML libraries like scikit-learn
- Experience developing REST APIs involving large volume data sets
- Experience with RDBMS systems.
- Experience with NoSQL stores (HBase, Cassandra etc.).