Azure Data Engineer

WE ARE HIRING!!!!

Role : Azure Data Engineer

Experience : - 6 - 8 Yrs

Location : Hyderabad

Work Mode : Hybris

Notice Period : Immediate - 30 days

Key Responsibilities :

Design and Develop Data Solutions :

Build scalable data pipelines and workflows using Databricks and Azure services .

Leverage low-code / no-code tools (e.g., Power Apps, Azure Data Factory, Logic Apps) for rapid solution development.

Data Integration :

Integrate data from multiple sources (structured, semi-structured, unstructured) into Databricks.

Performance Optimization :

Optimize Spark jobs and workflows for cost and performance efficiency.

Collaboration :

Work closely with data analysts, business users, and citizen developers to enable self-service analytics.

Automation :

Implement automation for data ingestion, transformation, and deployment using low-code / no-code frameworks.

Governance & Security :

Ensure compliance with data governance, security, and privacy standards.

Required Skills & Qualifications :

Hands-on experience with Databricks , Apache Spark , and Azure ecosystem (Data Lake, Synapse, ADF).

Proficiency in Python , SQL , and familiarity with Delta Lake .

Low-Code / No-Code Experience :

Experience with platforms like Power Apps , Power Automate , Azure Logic Apps , or similar.

Ability to design workflows and integrate APIs using low-code tools.

Data Engineering Fundamentals :

Strong understanding of ETL / ELT processes, data modeling, and performance tuning.

Soft Skills :

Excellent communication and collaboration skills.

Ability to work in agile environments and manage multiple priorities.