Data Engineer with AI

Job Title: Data Engineer with AI

Job Summary:
We are looking for passionate and motivated freshers to join us as Data Engineers with AI. In this role, you will support the design and development of scalable data pipelines and cloud-based data platforms that enable analytics and AI initiatives across the banking organization. The position focuses on data ingestion, transformation, storage, and modern cloud engineering practices.

Key Responsibilities:
• Build and maintain data pipelines using Python and cloud technologies.
• Support data integration and ingestion from multiple source systems.
• Work with databases, data lakes, and cloud infrastructure components.
• Implement data quality checks, monitoring, and documentation practices.
• Collaborate with data scientists, cloud engineers, and platform teams on data-driven solutions.

Required Qualifications:
• Master’s degree with specialization in Python, Infrastructure-as-Code (IaC), and Cloud technologies.
• Strong understanding of data engineering concepts and ETL/ELT workflows.
• Basic knowledge of scripting, databases, and cloud-native tools is an advantage.

Unique Experience from This Role:
Exposure to enterprise-scale data platforms, cloud infrastructure, and modern data engineering practices within a large BFSI environment, including work on real data and AI-enabling systems.

Learning Outcomes:
• Build strong foundations in data engineering, cloud technologies, and infrastructure-as-code.
• Understand how enterprise data platforms support analytics and AI solutions.
• Gain practical experience in data pipelines, automation, and cloud operations.
• Learn best practices in data quality, documentation, and secure data handling.