Jobs → Data & Analytics → Agentic Data Engineer

About the Role We are looking for an experienced Agentic Data Engineer who combines strong Databricks expertise with AI-driven automation to build intelligent, enterprise-scale data engineering solutions. This is NOT a traditional ETL/Data Engineer role. Key Responsibilities • Implement intelligent workflows and automated data quality remediation • Build AI-enabled data pipelines in production • Design and manage Databricks architecture and Lakehouse solutions • Develop end-to-end data pipelines and implement data governance • Create unified enterprise data domains and AI-enabled data products Requirements • Strong experience in Agentic Data Engineering and AI-Driven Data Engineering • Proficiency in Intelligent Workflow Automation and Pipeline Orchestration • Experience with Automated Data Cleansing and Data Quality Remediation • Knowledge of Databricks Architecture, Medallion & Lakehouse Architecture • Familiarity with Delta Lake and Unity Catalog • End-to-End Pipeline Development skills • Experience with Databricks Workflows, Python, Git & CI/CD • Data Pipelines, Data Modeling & ETL/ELT experience • Cloud Experience – AWS Preferred • Understanding of ABAC, Data Governance, Data Lineage, Row-Level Security • Experience with data mastering, enterprise integrations, hierarchy modeling, and cross-domain connectivity