Azure Data Engineer

Job Description

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.