The role involves designing, transforming, and supporting cloud-based data pipelines and platforms. The individual will build and optimize ETL/ELT workflows to facilitate data analytics and downstream consumption. Responsibilities include integrating data from various sources, such as APIs, and ensuring data quality and governance. The position requires collaboration with platform and analytics teams to enhance data architecture and performance. Furthermore, the role contributes to enterprise analytics and AI enablement initiatives by improving data reliability and accessibility.

Candidates must possess a Bachelor’s degree in Computer Science, Engineering, or a related technical field. The role requires strong proficiency in SQL and Python, along with hands-on experience in ETL/ELT processes and cloud-based data environments. Applicants should have experience with dbt, data modeling, ingestion frameworks, and API integration. Additionally, the position requires the ability to work independently while supporting cross-functional teams.