This position develops batch and real-time data pipelines utilizing various data analytics processing frameworks in support of Data Science and Machine Learning practices
Job Summary
This position develops batch and real-time data pipelines utilizing various data analytics processing frameworks in support of Data Science and Machine Learning practices.
The role involves performing extract, transform, load (ETL) data conversions, facilitating data cleansing and enrichment, and performing full systems life cycle management activities.
UPS offers a rewarding culture and opportunities to work with talented teams that help you become better every day.
Matching Summary
This position develops batch and real-time data pipelines utilizing various data analytics processing frameworks in support of Data Science and Machine Learning practices.
Skills & Requirements
Must-have
Azure Data Factory
SQL
Data warehousing solutions
Cloud services platform
ETL tools capabilities
Programming for statistical modeling
Data pipeline development
Nice-to-have
Analytics reporting technologies
Machine learning algorithms familiarity
Data filtering and optimization
Collaboration and documentation skills
Backup and recovery knowledge
Distributed systems basics
Key Requirements
Bachelor’s degree in MIS, mathematics, statistics, or computer science or equivalent experience
Understanding of database systems and data warehousing
Familiarity with Cloud platforms such as Azure, GCP, or AWS