Sr. AWS Data Engineer / Architect

Developing Data Pipelines that process large volumes of data using Python, PySpark, Pandas etc, preferably on AWS.

ingesting batch and streaming data from various data sources.

writing complex SQL using any RDBMS

developing ETL, OLAP based and Analytical Applications

Overview

• Industry - IT - INFORMATION TECHNOLOGY
• Functional Area - Data Analytics & Business Intelligence / Statistics, IT Software Programming / Analysis / Quality / Testing / Training
• Job Role - Data Analyst, Data Management / Statistics, Data Science Consultant
• Employment type - Full Time - Permanent
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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