Database Architect/Management IV-Data Engineer(Semantic)

Roles and Responsibilities : Design, build, and operationalize robust data pipelines supporting semantic and vector-based search capabilities. Automate data workflows using DevOps/DataOps frameworks to ensure scalability, reliability, and CI/CD compliance. Work across multi-tool ecosystems such as GitHub, Docker, and Kubernetes to integrate data from various sources. Develop and implement ETL to ELT transformations, event orchestration, and API-based integrations. Publish-subscribe models to support real-time data exchange between systems. Collaborate with cross-functional teams to identify and prioritize project requirements. Job Requirements : Strong expertise in designing, building, and deploying data pipelines. Proficiency in SQL, Data Engineering, Databricks, Python, and Semantic technologies. Experience with DevOps, DataOps, and AIOps practices is desirable. Knowledge of containerization and orchestration using Docker and Kubernetes is preferred. Understanding of modern data architecture and integration patterns across complex environments is essential. Ability to work collaboratively in a team environment to achieve project goals.