Data Engineer

We are looking for a skilled Data Engineer with strong experience in Python and AWS cloud technologies. The ideal candidate should have hands-on knowledge of building automation frameworks, managing test scripts, and working with various AWS services. This role requires good technical understanding, strong problem-solving skills, and the ability to work closely with cross-functional teams to ensure high-quality product delivery.

Roles and Responsibilities:

• Work closely with business stakeholders, Business Systems Analysts, and Developers to support application delivery.
• Build robust and scalable automation frameworks using Python.
• Design and manage test scripts using Python during development and execute them post-deployment.
• Develop automated test cases using tools like TestNG and Spring Boot Test.
• Support and maintain GitLab pipelines for continuous integration and deployment.
• Monitor and troubleshoot automation issues, guiding developers and teams when needed.
• Actively participate in root cause analysis, code debugging, and issue resolution.

Required Skills and Qualifications:

• Strong hands-on experience in Automation Engineering with Python.
• Proficient in AWS cloud services such as S3, Lambda, DynamoDB, DocumentDB, CloudWatch, and Kafka.
• Good working knowledge of Python libraries like pytest and boto3 client.
• Experience in developing automated test cases using TestNG and Spring Boot Test.
• Familiarity with GitLab CI/CD pipelines.
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

Preferred Skills:

• Excellent communication skills and the ability to work with cross-functional teams.
• Self-driven and capable of taking ownership with minimal supervision.
• Able to guide developers and team members in solving automation-related issues.
• Strong analytical skills for problem-solving, troubleshooting, and debugging.