Senior Data Engineer

• Design and develop hybrid ETL/ELT pipelines using AWS Glue and Azure Data Factory (ADF).
• Process files from AWS S3 and Azure Data Lake Gen2, including schema validation and data profiling.
• Implement event-based orchestration using AWS Step Functions and Apache Airflow
• Document architectures, pipelines, and workflows for internal stakeholder

Overview

• Industry - IT - INFORMATION TECHNOLOGY
• Functional Area - IT Software Programming / Analysis / Quality / Testing / Training
• Job Role - Data Quality Engineer
• 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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