ETL Data Automation Testing

This role focuses on the design, development, and implementation of robust and efficient ETL processes to support data warehousing and business intelligence initiatives. The ideal candidate will possess a strong understanding of data integration principles and experience in automating data quality checks and validation procedures.

Key Responsibilities:

Develop and maintain ETL pipelines to extract, transform, and load data from various sources.
Design and implement data quality checks and validation rules.
Automate data processing tasks to improve efficiency and reduce manual effort.
Troubleshoot and resolve data-related issues.
Collaborate with data analysts and business stakeholders to understand data requirements.
Optimize ETL processes for performance and scalability.

Requirements/Qualifications:

Proven experience in ETL development and data automation.
Strong understanding of data warehousing concepts.
Proficiency in data integration tools and technologies.
Experience with scripting languages (e.g., Python, Shell).
Excellent analytical and problem-solving skills.
Ability to work independently and as part of a team.
7 to 12 years of relevant experience.

About the Company: This company provides technology solutions and services to businesses across various industries. They specialize in helping organizations leverage data and technology to achieve their strategic goals.