Data Engineer - Python/PySpark

• Design, develop, and optimize large-scale data pipelines using PySpark and Apache Spark.
• Build scalable and robust ETL workflows leveraging AWS services such as EMR, S3, Lambda, and Glue.
• Collaborate with data scientists, analysts, and other engineers
• Manage and schedule workflows using Apache Airflow.

Overview

• Industry - IT - INFORMATION TECHNOLOGY
• Functional Area - Data Analytics & Business Intelligence / Statistics
• Job Role - Data Analyst
• 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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