Data Engineer

Qloron Pvt Ltd; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Qloron Pvt Ltd is seeking a Data Engineer to build and operate modern data platforms on Azure Databricks. You’ll collaborate with a Senior Architect to own the end-to-end implementation—from ingestion and transformation to deployment, monitoring and production support.

You’ll contribute to AI-native engineering practices, develop scalable pipelines, and deliver analytics-ready data products for analytics, ML, and GenAI applications.

Qualifications

• 4–6 years of hands-on experience in Data Engineering / Data Platforms.
• Strong Python/PySpark and SQL skills.
• Hands-on experience with Azure Databricks, Delta Lake and Medallion Architecture.
• Experience with batch and real-time data engineering.
• Familiar with Unity Catalog, Databricks Workflows/Jobs and Structured Streaming.
• Experience with ADLS Gen2, Event Hubs, Azure DevOps/Git and Key Vault.
• Knowledge of CI/CD, cloud security and production operations.
• BI/dashboarding tool experience.
• Ability to own end-to-end delivery and collaborate with stakeholders.

Responsibilities

• Build scalable batch and real-time data pipelines using Databricks, PySpark, SQL and Delta Lake.
• Implement Medallion Architecture (Bronze/Silver/Gold) and governed data products using Unity Catalog.
• Build streaming solutions using Structured Streaming and Azure Event Hubs.
• Work with ADLS Gen2, Azure Key Vault and Azure DevOps.
• Own CI/CD, deployment automation, monitoring and production troubleshooting.
• Collaborate with architects, analysts and business stakeholders to deliver production-ready solutions.

Skills

Python

PySpark

SQL

CI/CD

BI dashboards

Tools

Azure Databricks

Delta Lake

Medallion Architecture

Unity Catalog

Databricks Workflows/Jobs

ADLS Gen2

Event Hubs

Azure DevOps

Git

Key Vault

Job description

About The Role

We’re looking for a Data Engineer to build and operate modern data platforms on Azure Databricks.

Female Candidate Are Preferred

Location: Mumbai/ Jaipur

About The Role

We’re looking for a Data Engineer to build and operate modern data platforms on Azure Databricks.

You’ll work with a Senior Architect on solution design and own the implementation end-to-end—from ingestion and transformation to deployment, monitoring and production support. Alongside strong data engineering skills, you’ll also take ownership of the platform/DevOps aspects of the solution.

We’re building for an AI-native world, so we expect you to use AI coding agents, AI-assisted development, reusable skills/workflows and agentic automation to make engineering faster, smarter and more reliable.

What You'll Do

• Build scalable batch and real-time data pipelines using Databricks, PySpark, SQL and Delta Lake.
• Implement Medallion Architecture (Bronze/Silver/Gold) and governed data products using Unity Catalog.
• Build streaming solutions using Structured Streaming and Azure Event Hubs.
• Work with ADLS Gen2, Azure Key Vault and Azure DevOps.
• Own CI/CD, deployment automation, monitoring and production troubleshooting.
• Optimize data pipelines and Databricks workloads for performance, reliability and cost.
• Build analytical datasets and dashboards using BI/visualization tools.
• Develop data products that can support analytics, ML, GenAI and agentic applications.
• Leverage AI agents and AI-native developer tools for coding, testing, documentation, troubleshooting and automation.
• Collaborate with architects, analysts and business stakeholders to deliver production-ready solutions.

What We're Looking For

• 4–6 years of hands-on experience in Data Engineering / Data Platforms.
• Strong Python/PySpark and SQL skills.
• Strong hands‑on experience with Azure Databricks, Delta Lake and Medallion Architecture.
• Experience with batch + real‑time/streaming data engineering.
• Hands‑on experience with Unity Catalog, Databricks Workflows/Jobs and Structured Streaming.
• Experience with ADLS Gen2, Event Hubs, Azure DevOps/Git and Key Vault.
• Good understanding of CI/CD, cloud security and production operations.
• Hands‑on experience with a BI/dashboarding tool.
• Strong problem‑solving and ownership mindset.
• Comfortable using AI coding assistants/agents and eager to adopt emerging AI‑native engineering practices.

Good to Have

• Databricks or Azure certifications.
• Lakeflow/DLT, Terraform/IaC or Kafka.
• Experience with AWS/GCP and Databricks.
• Exposure to GenAI, RAG or agentic applications.
• Experience in Telecom, Media, Advertising/AdTech.

If you enjoy building production-grade data platforms—and using AI to fundamentally improve how you build and operate them,we’d love to hear from