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 and facilitating data cleansing and enrichment as well as full systems life cycle management activities.
Candidates will assist the Data Science community by working through analytical model feature tuning and synthesizing disparate data sources to create reusable data assets.
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 experience
SQL database systems knowledge
Python or Java programming skills
ETL data conversion expertise
Cloud services platform familiarity
Nice-to-have
Machine learning algorithm understanding
Distributed systems basics
Statistical modeling literacy
Data security and compliance awareness
Collaborative team environment
Key Requirements
Bachelor's degree in MIS, mathematics, statistics, or computer science