Build, deploy, monitor, and support data pipelines for connected devices, web applications, and mobile applications. Collaborate with internal customers, AWS Cloud Architects, and agile teams to develop scalable serverless data solutions using Python, SQL, Snowflake, Databricks, and AWS technologies. The role includes full lifecycle pipeline management, production support, technology evaluation, and participation in data product development under the supervision of a Senior Data Engineer.

Supports the development and maintenance of SQL and Python data pipelines, data models, semantic layers, dashboards, and reports. Performs data wrangling and preprocessing, collaborates with cross-functional teams to translate business needs into data solutions, and applies data governance, security, and quality practices. The role provides hands-on data analytics engineering experience supporting business analytics and AI initiatives.