Databricks Engineer

Remote Longterm Work TImings : 2:00PM IST to 11:00 PM IST Databricks Engineer

Experience: 12+ Years Certification: Databricks Certified Data Engineer Professional (Mandatory) Key Skills:

- Databricks, Apache Spark, PySpark, Python, SQL
- AWS / Azure / GCP
- Data Engineering & Lakehouse Architecture
- Systems Integration & Solution Architecture
- CI/CD, Performance Optimization & MLOps
- Customer Consulting & Technical Leadership

Role Overview

- Lead full-stack Databricks implementations including front-end integration, back-end data engineering, systems integration, technical consulting, and solution architecture.
- Build and deploy production-grade data pipelines and cloud-native solutions in customer environments.




- Convert ambiguous business requirements into scalable technical designs and reusable implementation patterns.
- Configure, troubleshoot, and optimize Databricks solutions while collaborating directly with clients and business stakeholders.
- Drive end-to-end delivery, build customer trust, and communicate effectively with both technical and non-technical audiences.

Ideal Candidate

- Hands-on builder mindset with 10+ Databricks implementation projects.
- Comfortable working in quick-paced, customer-facing environments.
- Strong problem-solving, adaptability, troubleshooting, and ownership of delivery outcomes.
- Ability to represent engineering teams confidently in front of customer stakeholders.

📌 Databricks Engineer (India)
🏢 Quadrant IQ Solutions
📍 India