Senior Data Engineer leading and mentoring a team in building scalable data pipelines for digital transformation projects in an international software company.
About the role
- Technical expert responsible for building and modernizing Data Science Tools and Data Assets at Early Warning. Involved in guiding Data Scientists and enhancing data infrastructure.
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
Requirements
- Bachelor’s degree
- Spark experience
- Hive SQL knowledge
- 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 knowledge including optimizing/tuning queries, indexing, partitioning, etc.
- SAS knowledge and ability to convert from SAS to Python
Benefits
- Hybrid work model for collaborative environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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