Sr Data Engineer -

Job SummaryWe are seeking a highly skilled Databricks Engineer with AI/ML experience to design, build, and optimize scalable data and machine learning platforms on Databricks. The role involves end-to-end ownership of data pipelines, ML workflows, and production AI systems.Key ResponsibilitiesDesign and implement scalable ETL pipelines using Databricks & SparkBuild Lakehouse architecture using Delta LakeDevelop and deploy ML models using MLflowImplement MLOps pipelines for training, testing, and serving modelsOptimize cluster performance and reduce compute costBuild RAG and LLM-based solutions using Mosaic AIIntegrate analytics with BI tools (Power BI, Tableau)Implement data governance using Unity CatalogCollaborate with Data Scientists and Business teamsEnsure data quality, security, and complianceRequired SkillsMandatory5+ years of Databricks & Apache SparkStrong Python & PySparkExperience with Delta Lake & LakehouseMLflow & MLOps experienceCloud platform (AWS/Azure/GCP)Git & CI/CDPreferredExperience with LLMs & Generative AIRAG pipelines & Vector DatabasesDeep Learning frameworksDatabricks certificationsPower BI integration RequirementsJob SummaryWe are seeking a highly skilled Databricks Engineer with AI/ML experience to design, build, and optimize scalable data and machine learning platforms on Databricks. The role involves end-to-end ownership of data pipelines, ML workflows, and production AI systems.Key ResponsibilitiesDesign and implement scalable ETL pipelines using Databricks & SparkBuild Lakehouse architecture using Delta LakeDevelop and deploy ML models using MLflowImplement MLOps pipelines for training, testing, and serving modelsOptimize cluster performance and reduce compute costBuild RAG and LLM-based solutions using Mosaic AIIntegrate analytics with BI tools (Power BI, Tableau)Implement data governance using Unity CatalogCollaborate with Data Scientists and Business teamsEnsure data quality, security, and complianceRequired SkillsMandatory5+ years of Databricks & Apache SparkStrong Python & PySparkExperience with Delta Lake & LakehouseMLflow & MLOps experienceCloud platform (AWS/Azure/GCP)Git & CI/CDPreferredExperience with LLMs & Generative AIRAG pipelines & Vector DatabasesDeep Learning frameworksDatabricks certificationsPower BI integrationJob SummaryWe are seeking a highly skilled Databricks Engineer with AI/ML experience to design, build, and optimize scalable data and machine learning platforms on Databricks. The role involves end-to-end ownership of data pipelines, ML workflows, and production AI systems.Key ResponsibilitiesDesign and implement scalable ETL pipelines using Databricks & SparkBuild Lakehouse architecture using Delta LakeDevelop and deploy ML models using MLflowImplement MLOps pipelines for training, testing, and serving modelsOptimize cluster performance and reduce compute costBuild RAG and LLM-based solutions using Mosaic AIIntegrate analytics with BI tools (Power BI, Tableau)Implement data governance using Unity CatalogCollaborate with Data Scientists and Business teamsEnsure data quality, security, and complianceRequired SkillsMandatory5+ years of Databricks & Apache SparkStrong Python & PySparkExperience with Delta Lake & LakehouseMLflow & MLOps experienceCloud platform (AWS/Azure/GCP)Git & CI/CDPreferredExperience with LLMs & Generative AIRAG pipelines & Vector DatabasesDeep Learning frameworksDatabricks certificationsPower BI integration

Job Summary

Job Summary

We are seeking a highly skilled Databricks Engineer with AI/ML experience to design, build, and optimize scalable data and machine learning platforms on Databricks. The role involves end-to-end ownership of data pipelines, ML workflows, and production AI systems.

Databricks Engineer with AI/ML experience

Key Responsibilities

Key Responsibilities

• Design and implement scalable ETL pipelines using Databricks & Spark
• Build Lakehouse architecture using Delta Lake
• Develop and deploy ML models using MLflow
• Implement MLOps pipelines for training, testing, and serving models
• Optimize cluster performance and reduce compute cost
• Build RAG and LLM-based solutions using Mosaic AI
• Integrate analytics with BI tools (Power BI, Tableau)
• Implement data governance using Unity Catalog
• Collaborate with Data Scientists and Business teams
• Ensure data quality, security, and compliance

Required Skills

Required Skills

Mandatory

Mandatory

• 5+ years of Databricks & Apache Spark
• Strong Python & PySpark
• Experience with Delta Lake & Lakehouse
• MLflow & MLOps experience
• Cloud platform (AWS/Azure/GCP)
• Git & CI/CD

Preferred

Preferred

• Experience with LLMs & Generative AI
• RAG pipelines & Vector Databases
• Deep Learning frameworks
• Databricks certifications
• Power BI integration