The individual in this role designs, builds, and maintains systems and infrastructure to facilitate efficient data collection, processing, and analysis. Responsibilities include developing scalable data pipelines to extract, transform, and load data from diverse sources. The role involves optimizing data workflows for performance and reliability while ensuring data quality, integrity, and compliance. Collaboration with AI and data analytics teams is essential to deliver tailored solutions and support data-driven decision-making. Additionally, the position requires documenting processes and enforcing data governance policies across the organization.

Candidates must possess a Bachelors degree in Computer Science, Information Technology, Engineering, or a related field, with a Masters degree considered an advantage. A minimum of five years of experience in a data engineering or similar role is required. Proficiency in SQL, Python, data modeling, and data warehousing solutions is necessary. Furthermore, the role requires hands-on experience with ETL/ELT workflows, cloud platforms, and orchestration tools.