Job Description

We are looking for an experienced

Azure Data Engineer

to design and build scalable data pipelines on Azure. The role involves ingesting raw data, transforming it through curated layers, and delivering high-quality

Gold-layer datasets

for analytics and reporting using

Azure Databricks

.

Requirements

Key Responsibilities

Design, build, and maintain end-to-end data pipelines on

Azure

Ingest raw data from multiple sources and transform it into

Bronze, Silver, and Gold layers

Develop scalable data processing solutions using

Azure Databricks

Build optimized data models to support analytics and business reporting Ensure data quality, reliability, and performance across pipelines Implement CI/CD and version control best practices for data engineering Collaborate with analytics, platform, and business teams

Must-Have Skills

Strong hands-on experience with

Azure Data Engineering

Experience working with

Azure Databricks

Proficiency in

Python

and

PySpark

Strong SQL and analytical skills

Experience building and maintaining data pipelines Hands-on with

Git/GitHub

for version control Exposure to

CI/CD tools

(Azure DevOps, Jenkins, or similar)

Good-to-Have Skills

Experience with

dbt

Knowledge of

Terraform

or Infrastructure-as-Code Experience with Azure services like

ADLS, Azure Data Factory

Understanding of data modeling and analytics engineering concepts

Nice to Have

Experience in Agile/Scrum environments Strong communication and stakeholder management skills

Benefits

What We Offer

Opportunity to work on modern cloud data platforms Challenging, high-impact data projects * Collaborative and engineering-driven culture