Description

You design, build, and deploy machine learning models and end-to-end ML pipelines using Databricks and Spark. You optimize data processing workflows for performance and scalability within the Databricks Lakehouse.

This role is on-site.

Responsibilities

• Design and deploy production-grade machine learning models and end-to-end ML pipelines using Databricks and Apache Spark.
• Optimize data processing and analytics workflows within the Databricks Lakehouse for performance and scalability.
• Enable self-service analytics by configuring Databricks Genie and creating business-friendly semantic data layers.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Ensure data quality, governance, and security while delivering actionable insights to stakeholders.

Required Skills

• 4–6 years of experience in data science or advanced analytics.
• Strong hands-on expertise in Databricks and Apache Spark.
• Building production-grade machine learning models using Python.
• Proven ability to design and deploy ML pipelines.
• Experience enabling self-service analytics (Genie) and delivering scalable data-driven solutions.

Preferred Skills

• Bachelor’s or master’s degree in data science, Computer Science, Statistics, Engineering, or a related field.

Key Skills

Education

Any Graduate