As a Data Engineer, you will be instrumental in managing and enhancing our data infrastructure to meet evolving business demands. Your role involves designing and maintaining robust data pipelines, ensuring seamless integration of data from diverse sources. You will collaborate closely with team members to understand data requirements and deliver timely, effective solutions.

This position is crucial for enabling data-driven decision-making across the organization by ensuring the reliability and accessibility of our data systems. Your daily activities will include monitoring data workflows to uphold accuracy and efficiency, contributing significantly to our overall data strategy.

Independently manage tasks and become a subject matter expert in your domain. Actively participate and contribute to team discussions and problem-solving sessions. Collaborate with cross-functional teams to gather and analyze complex data requirements. Design, develop, and maintain scalable data pipelines essential for analytics and reporting. Monitor and troubleshoot data workflows to guarantee data quality and system reliability. Document processes and best practices to foster knowledge sharing within the team.

A minimum of 2 years of experience is required, with a focus on Python Frameworks. Strong knowledge of data warehousing concepts and architecture is essential. Proficiency in developing and optimizing complex SQL queries is expected. Familiarity with data integration techniques and relevant tools is necessary. Experience in handling large datasets and performing data transformations using Python libraries like Pandas and NumPy is required. An understanding of data quality processes is beneficial. Experience in the Banking Domain is a significant advantage. A 15-year full-time education is a prerequisite for this role.