Software Engineer

Overview

This role is ideal for someone who thrives across the stack, from data engineering workflows to AI/ML model deployment, and occasionally supporting pre-sales conversations. You'll play a key role in building our Databricks-powered data platform, enabling advanced analytics, and integrating it seamlessly with our product ecosystem.

Responsibilities

• Architect and maintain scalable data pipelines using Python, Pandas, and Spark.
• Leverage Databricks for ETL workflows, large-scale data processing, and analytics.
• Design and implement storage solutions (MySQL, PostgreSQL, MongoDB, etc. ).
• Ensure smooth integration across systems using RESTful APIs.
• Build, train, and deploy ML models for predictive analytics and automation.
• Collaborate with product teams to embed ML features into SaaS applications.
• Optimise ML workflows for scalability and performance on Databricks.
• Stay current with emerging AI/ML frameworks and best practices.
• Develop backend services and APIs in Python.
• Build responsive frontend components using JavaScript and React.
• Configure and manage web servers (e. g., Nginx) for performance and security.
• Deploy and maintain AWS services (Lambda, API Gateway, S3 EC2).
• Implement CI/CD pipelines and agile development practices.
• Support solution demos and technical discussions with prospective clients.
• Translate technical capabilities into business value during pre-sales engagements.
• Collaborate with sales and leadership to shape proposals and pitches.
  
  

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years of experience in Data Engineering, AI/ML, or Full Stack Development.
• Strong proficiency in Python, Pandas, and Spark.
• Mandatory experience with Databricks for data engineering and ML workflows.
• Solid experience with AWS services (Lambda, API Gateway, S3 EC2).
• Proficiency in JavaScript and React for frontend development.
• Experience with relational and NoSQL databases.
• Familiarity with Nginx and server configuration.
• Understanding of SDLC, CI/CD, and agile practices.
• Excellent problem-solving skills, attention to detail, and ability to work independently.
• Strong communication skills, with bonus points for pre-sales or client-facing experience.
  
  

This job was posted by Shivani Bhoras from Ergobite.