As a Data Engineer, you will play a crucial role in managing and enhancing our data infrastructure to support critical business analytics and reporting. Your daily activities will involve designing, building, and maintaining robust data pipelines that efficiently collect, process, and integrate information from a wide array of sources.

This position requires close collaboration with various teams to meticulously understand their data requirements and ensure the highest standards of data quality are consistently met. You will be responsible for the ongoing monitoring and optimization of data workflows, guaranteeing timely and accurate data delivery to empower informed decision-making throughout the organization.

You are expected to operate with a high degree of autonomy, aiming to become a subject matter expert in your domain. Active contribution and participation in team discussions are essential, as is providing valuable solutions to any work-related challenges.

Key responsibilities include collaborating with cross-functional teams to gather and analyze data requirements, ensuring data pipelines are not only reliable and scalable but also maintainable to meet evolving business needs. You will also mentor junior team members by offering guidance and sharing best practices, alongside continuously monitoring data quality and implementing improvements to uphold data integrity.

This role demands proficiency in Python Frameworks and Ab Initio, with a minimum of 2 years of dedicated experience in Python Frameworks. You will develop and optimize complex data pipelines utilizing Python libraries such as Pandas and NumPy.

Strong knowledge of data warehousing concepts is essential, complemented by hands-on experience in SQL query development and optimization. The ability to integrate data from diverse sources, including APIs, flat files, and cloud storage solutions, is paramount. Familiarity with data quality processes and techniques is required to ensure data accuracy and consistency, along with experience in automating and orchestrating data workflows for enhanced efficiency and reliability. A 15-year full-time education is mandatory for this position.