Design, build, and optimize Databricks-based data and ML platforms. Own ETL pipelines, Delta Lake lakehouse, MLflow model lifecycle, MLOps, cluster optimization, RAG/LLM solutions, BI integration, and data governance with Unity Catalog.
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.
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
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
- Experience
with LLMs & Generative AI
- RAG
pipelines & Vector Databases
- Deep
Learning frameworks
- Databricks
certifications
- Power
BI integration
Requirements
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.
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
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
- Experience
with LLMs & Generative AI
- RAG
pipelines & Vector Databases
- Deep
Learning frameworks
- Databricks
certifications
- Power
BI integration
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