AI engineer-Databricks Data Platform

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AI engineer-Databricks Data Platform in Others new

Ecolab Inc.
Full time
Email

Others
11/07/2026
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Bengaluru, India

Responsibilities

Design, build, configure, and maintain Databricks workspaces across development, testing, and production environments.
Manage Unity Catalog, clusters, SQL Warehouses, compute policies, workspace configurations, and access controls.
Build scalable batch, streaming, API, database, and file-based data ingestion pipelines using Databricks Lakehouse patterns.
Integrate Databricks with Snowflake, SAP, Oracle, SQL Server, Azure Data Factory, Kafka, and cloud storage services.
Enable machine learning and generative AI workloads through MLflow, feature stores, model lifecycle management, and model serving.
Establish CI/CD, DataOps, MLOps, automated testing, deployment, rollback, release management, and environment promotion processes.
Implement infrastructure as code, reusable deployment frameworks, platform automation, security controls, governance, data masking, encryption, and audit logging.
Configure observability, logging, alerting, performance monitoring, incident management, and production support processes.
Optimize platform performance, cost, scalability, reliability, security, and compliance.
Collaborate with architects, data engineers, AI engineers, cybersecurity teams, and business stakeholders; provide technical guidance and mentor junior engineers.

Requirements

Bachelor’s or master’s degree in computer science, engineering, IT, or a related field.
At least 5 years of experience in data, platform, or cloud engineering.
At least 3 years of hands-on experience with the Databricks Lakehouse Platform.
Strong expertise in Delta Lake, Unity Catalog, MLflow, Databricks Workflows, Structured Streaming, PySpark, and Spark SQL.
Experience with Azure, AWS, or GCP cloud platforms.
Proficiency in Python and SQL.
Strong knowledge of DevOps, CI/CD, infrastructure as code, and platform automation.
Hands-on experience with Terraform, GitHub Actions, Azure DevOps, or equivalent CI/CD tools.
Preferred: experience with Generative AI, Agentic AI, LLM-based applications, Snowflake, enterprise AI platforms, Kubernetes, Docker, APIs, Kafka, and event-driven architectures.
Preferred: Databricks Certified Professional or Associate certification and experience supporting enterprise-scale Data & AI platforms.

Ecolab Inc.

Ecolab Inc. builds and sells water treatment chemicals and equipment, hygiene and infection-prevention products, and on-site service and digital monitoring for industrial and institutional customers. A NYSE-listed public company founded in 1923 and headquartered in St. Paul, Minnesota, it serves ...

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