AI engineer-Data Databricks Pltform
Ecolab (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, configure, and maintain scalable, secure, and reliable Databricks platform environments across development, testing, and production.
- Automate platform deployment and management using Infrastructure as Code (Terraform, CI/CD pipelines), ensuring high availability, security, and compliance.
- Enable and support DataOps, MLOps, AI/ML workloads including integration with enterprise data platforms and AI tools, driving operational excellence and platform adoption.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field.
- 5+ years of experience in Data, Platform, or Cloud Engineering; 3+ years with Databricks Lakehouse Platform.
- Strong skills in Delta Lake, Unity Catalog, MLflow, Databricks Workflows, Structured Streaming, PySpark, Spark SQL, Python, SQL.
- Experience with cloud platforms (Azure, AWS, or GCP), DevOps practices, CI/CD tools (Terraform, GitHub Actions, Azure DevOps) and platform automation.
Ideal Candidate Profile
- Experienced engineer capable of end-to-end ownership of enterprise Databricks platform including automation, integration, security, and governance.
- Strong background in enabling scalable DataOps and MLOps pipelines and supporting AI/ML workloads and tools within complex enterprise environments.
- Proven ability to collaborate with architects, data scientists, security teams, and business stakeholders to drive platform roadmap and adoption.