Senior Databricks Engineer

Mindquest Software Solutions; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Mindquest Software Solutions in Hyderabad is seeking a Senior Databricks Engineer to lead end-to-end Databricks implementations, including front-end integration, data engineering, and cloud-native delivery.

The role requires hands-on design, troubleshooting, and the ability to communicate with customers and stakeholders, translating business requirements into scalable technical solutions.

Candidates should have 10+ Databricks projects and hands-on experience across AWS/Azure/GCP and ML pipelines.

Qualifications

• Hands-on builder mindset with extensive Databricks implementation experience.
• Strong problem-solving, ownership of delivery outcomes and customer-facing skills.
• Ability to represent engineering teams to customer stakeholders confidently.

Responsibilities

• Lead end-to-end Databricks implementations including front-end integration and data engineering.
• Build and deploy production-grade data pipelines and cloud-native solutions.
• Translate business requirements into scalable technical designs and architectures.
• Configure, troubleshoot, and optimize Databricks solutions while engaging customers.
• Drive end-to-end delivery and communicate with technical and business stakeholders.

Skills

Databricks

Apache Spark

PySpark

Python

SQL

Tools

AWS

Azure

GCP

Job description

Role: Senior Databricks Engineer
Location : Hyderabad Hybrid( locals)

Job Description:
We are looking for candidates with the following qualifications:

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

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 Expectations:

• Lead end-to-end 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.
• Translate business requirements into scalable technical designs.
• Configure, troubleshoot, and optimize Databricks solutions while working directly with customers.
• Drive end-to-end delivery and communicate effectively with both technical and business stakeholders.