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.