Description

You will build and maintain data engineering pipelines with a focus on machine learning integration.

Responsibilities

• Build and maintain ETL pipelines to support data workflows.
• Manage big data processing tasks and large-scale datasets.
• Implement statistical models and machine learning workflows.
• Apply analytical techniques to extract insights from raw data.

Required Skills

• 5+ years of experience in data engineering or related roles.
• Proficiency in Python for data manipulation and automation.
• Hands-on expertise with R for statistical computing.
• Working knowledge of SAS for advanced analytics.
• Experience using SPSS for statistical analysis.
• Experience with ETL processes and big data technologies.
• Bachelor's degree or equivalent graduate-level education.

Key Skills

Education

Any Graduate