Data Engineering Professional

Role Overview

We are seeking a dynamic academic professional in Data Engineering to lead research and teaching in data infrastructure, pipelines, and real-time analytics. The ideal candidate will have deep expertise in big data technologies and scalable data systems.

Responsibilities

• Teach and develop courses in Big Data, Data Warehousing, ETL, and Data Pipelines
• Guide projects on large-scale data systems, stream processing, and real-time analytics
• Lead research in data architecture, quality, governance, and engineering frameworks
• Collaborate with industry for live data projects and internships
• Mentor students in research and career growth.

Desired Skills & Qualifications

• Ph.D. in Computer Science or related field
• Expertise in tools like Apache Spark, Kafka, Hadoop, Airflow, SQL/NoSQL
• Experience in cloud platforms (AWS, Azure, GCP) for data engineering
• Strong research publication track record.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.