Data Engineer

Job summary

Job Description: Key Responsibilities Application & Data Development - Design, develop, and maintain scalable data pipelines, applications, and utilities using Python and PySpark. - Build robust ETL/ELT frameworks and data processing solutions for large-scale datasets. - Develop reusable components, libraries, and automation solutions following coding standards and best practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Responsibilities

• Application & Data Development
• Design, develop, and maintain scalable data pipelines, applications, and utilities using Python and PySpark.
• Build robust ETL/ELT frameworks and data processing solutions for large-scale datasets.
• Develop reusable components, libraries, and automation solutions following coding standards and best practices.
• Write clean, maintainable, and efficient code with proper error handling and logging.
• Participate in code reviews and ensure adherence to development standards.
• Must-Have

Skills

Degrees

Industry

Company size