Description

Job Responsibilities include:

Design, build, and deploy machine learning models and end-to-end ML pipelines using Databricks and 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 Qualifications:

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

4–6 years of experience in data science or advanced analytics.

Strong hands-on expertise in Databricks, Apache Spark, and building production-grade machine learning models using Python.

Proven ability to design and deploy ML pipelines, enable self-service analytics (Genie), and deliver scalable data-driven solutions

Key Skills

Education

Any Graduate