Early Warning is looking to modernize its Data Science Tools and Data Assets by migrating from legacy systems like SAS and Hive SQL to higher performance structures leveraging parallel computing capabilities.
Requirements
- Spark
- Hive SQL
- Software/data engineering in Python
- Machine Learning toolkits in Python/Spark
- Building reusable frameworks for data ingestion and storage in Hadoop or AWS/S3
- Relational databases, optimizing/tuning queries, indexing, partitioning, etc.
- SAS and the ability to convert from SAS to Python
Responsibilities
- Write data infrastructure & analytics software tools for Data Science.
- Guide Data Scientists on best practices in software engineering.
- Modernize existing SAS and Hive SQL codebase to higher performance structures leveraging parallel computing capabilities
- Instrument data feeds for observability, profiling, and monitoring
- Develop shared resources to support Data Science work such as automated profiling and analysis tools
- Write detailed, complete, and enduring documentation to enable long term support
- Supporting the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data
Other
- Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire.
- This position is ineligible for employment Visa sponsorship.
- Strong communication skills
- Background and drug screen
- Prior demonstrated experience 2-4 years
