Job Summary Join a dynamic Data Engineering team to refine data processes, enhance monitoring, and drive operational improvements. You will work closely with cross-functional teams in application development, data engineering, and customer success to transform raw data into actionable insights. Key Responsibilities - Collaborate with cross-functional teams to gather and define technical requirements. - Translate business needs into scalable and efficient data architecture and solutions. - Build and deploy data solutions using modern data tools and the client's analytics stack. - Develop a deep understanding of the organization's data and be a trusted expert on best practices for usage. - Design and implement robust data models using Snowflake and DBT. - Perform ad-hoc analyses to identify issues, diagnose anomalies, and recommend solutions. - Utilize AWS services to design and optimize data pipelines and infrastructure. - Evaluate and recommend alternative cloud-based approaches to improve efficiency and scalability. Requirements - 3–5 years of data engineering experience or equivalent experience in software engineering. - Proficiency in Python and SQL for scripting and data manipulation. - Experience with DBT and Snowflake (or similar cloud data warehouses such as BigQuery or Azure DWH). - Solid understanding of AWS-based data infrastructure (S3, Lambda, EC2).