Azure Cloud Data Engineer

End-to-End Data Engineering

We’re looking for a hands-on Cloud Data Engineer who’s an expert in Python, PySpark, and SQL — with proven experience building end-to-end data pipelines on Azure using Data Factory, Synapse, and Databricks .

This role blends strong technical skills with sharp business understanding — ideal for someone who loves solving problems, designing scalable data solutions, and working closely with business teams.

Key Responsibilities :

End-to-End Data Engineering

• Build and optimize data pipelines and ETL processes using ADF, Synapse, and Databricks .
• Develop high-performance data transformations using Python, PySpark, and Advanced SQL .
• Design and implement Lakehouse / Medallion architecture on Azure.
• Create data models and Lakehouse to support analytics and BI initiatives.
• Work directly with business stakeholders to gather requirements and translate them into scalable technical solutions.
• Ensure data quality, governance, and performance optimization across large-scale datasets.

Customer Interaction & Technical Documentation

CI / CD & Automation

Leadership & Mentorship

Required Skills & Experience :

Preferred Skills :

Personal Attributes :

Salary Range : Negotiable depending on experience and interview performance

Time Preferred : Night shift till 5 : 00 am - IST (This is a must and no exception - adequate compensation will be offered for the Night shift)

PTO : 18 days / year and 10 public holidays

Important to have very good conversational skills in English