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 while managing full systems life cycle activities.
Candidates will assist the Data Science community by working through analytical model feature tuning and synthesizing disparate data sources to create reusable 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
Cloud platform familiarity (Azure/GCP/AWS)
ETL tool capabilities understanding
Nice-to-have
Machine learning algorithm familiarity
Distributed systems basics
Analytic reporting tools proficiency
Data security and compliance knowledge
Collaborative team environment
Key Requirements
Bachelor's degree in MIS, mathematics, statistics, or computer science