Data Engineering Developer- Senior Associate

Design and develop AI-powered applications, automation solutions, and reusable data engineering frameworks with Python, focusing on productivity improvement.

Develop, maintain, and modernize data pipelines and reporting platforms using Python, SQL, and enterprise tools, supporting analytics and cloud migration initiatives.

Collaborate with cross-functional teams to translate requirements into technical solutions, support production, and participate in Agile software development lifecycle processes.

3-7 years of experience in software development, data engineering, reporting, or related technical roles.

Strong hands-on Python development and SQL skills, with experience in Oracle or related databases and ETL/ELT pipeline building.

Working knowledge of Generative AI concepts, LLMs, and AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, OpenAI, or similar.

Familiarity with CI/CD, version control (Git), and debugging/troubleshooting skills.

Experienced in building scalable AI and data engineering solutions aimed at improving operational efficiency and developer productivity.

Comfortable working within Agile teams and participating in sprint planning, code reviews, and continuous integration practices.

Has practical exposure or strong interest in Generative AI technologies, prompt engineering, and modern data reporting or analytics frameworks.