Location: Remote

Job Type: Part-Time

Experience: 1–3 Years

Job Summary

We are looking for a passionate Azure Data Engineer to build, optimize, and manage scalable data solutions on Microsoft Azure. The ideal candidate should have hands-on knowledge of Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, SQL, Python, and PySpark. You will work with up-to-date cloud technologies to design ETL/ELT pipelines, process large-scale data, and support business intelligence and analytics initiatives.

Roles & Responsibilities

* Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF).

* Build scalable data processing solutions using Azure Databricks and PySpark.

* Manage Azure Data Lake Storage (ADLS Gen2) for secure and efficient data storage.

* Develop data warehouse solutions using Azure Synapse Analytics.

* Write optimized SQL queries, stored procedures, and data transformations.

* Process structured and unstructured data from multiple data sources.





* Implement Delta Lake architecture for reliable and scalable data processing.

* Develop batch and real-time data pipelines using Azure Event Hubs and Stream Analytics.

* Monitor, troubleshoot, and optimize Azure data workflows.

* Implement data security, governance, and access control using Microsoft Purview, RBAC, and Azure Key Vault.

* Collaborate with Data Analysts, BI Developers, Data Scientists, and DevOps teams.

* Participate in code reviews, testing, deployment, and documentation.

Required Skills

* Microsoft Azure Fundamentals

* Azure Data Factory (ADF)

* Azure Databricks

* Azure Synapse Analytics

* Azure Data Lake Storage (ADLS Gen2)

* Azure SQL Database

* SQL (Advanced)

* Python

* PySpark

* Delta Lake

* ETL/ELT Concepts

* Data Warehousing

* Git & GitHub

* Azure CLI (Basic)

* Azure Monitor

Preferred Skills

* Azure Event Hubs

* Azure Stream Analytics

* Microsoft Purview

* Azure DevOps

* CI/CD Pipel

📌 Azure Data Engineer Trainer (India)
🏢 Getin Technologies
📍 India