AI Engineer-Data Databricks Pltform
Ecolab (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, configure, automate, and operationalize the Databricks Lakehouse platform for enterprise-scale Data & AI solutions.
- Establish scalable, secure, compliant, and high-availability environments supporting data engineering, AI/ML workflows, and platform governance.
- Implement and manage CI/CD pipelines, infrastructure as code, monitoring, and support operational readiness and incident resolution for the Databricks platform.
Minimum Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, IT, or related field.
- 5+ years experience in Data, Platform, or Cloud Engineering, with 3+ years hands-on on Databricks Lakehouse Platform.
- Proficiency in Delta Lake, Unity Catalog, MLflow, Structured Streaming, PySpark, Spark SQL, Python, SQL, and cloud platforms (Azure, AWS, or GCP).
- Experience with DevOps practices including Infrastructure as Code (Terraform), CI/CD tools (GitHub Actions, Azure DevOps), and platform automation.
Ideal Candidate Profile
- Experienced engineer capable of managing end-to-end Databricks platform engineering including automation, integration, security, and governance.
- Comfortable working cross-functionally with architects, data scientists, AI engineers, security teams, and business stakeholders delivering enterprise Data & AI platforms.
- Skilled in supporting scalable DataOps, MLOps, and AI/ML workloads, including generative AI and agent orchestration frameworks integration.