Required Skills & Qualifications
· 7+ years of experience in Software Engineering, Data Engineering, or AI Engineering.
· Strong expertise in Python and SQL.
· Hands-on experience building cloud-native applications on AWS.
· Proven experience with Databricks, Apache Spark, and modern data engineering frameworks.
· Experience designing and developing APIs, backend services, distributed systems, and scalable workflows.
· Hands-on experience building and deploying AI or LLM-powered applications in production.
· Strong knowledge of data architecture, dimensional modeling, Data Vault, Medallion Architecture, data governance, and data quality frameworks.
· Experience building DBT transformation pipelines, testing frameworks, and data validation processes.
· Strong communication, collaboration, and problem-solving skills in cross-functional environments.
· Bachelor’s degree in Computer Science, Engineering, Data Science, Information Technology, or equivalent professional experience.