Data Engineer

Greetings From 360 Technology , We are looking for a highly skilled Azure Data Engineer to design, develop, and implement scalable data engineering solutions. The ideal candidate will have strong experience in building modern data platforms using Azure services, with a focus on data pipelines, data lakes, and analytics solutions.

Design, develop, and maintain scalable data pipelines and data engineering solutions Build and optimize data ingestion frameworks using Azure Data Factory (ADF) and Azure Databricks Develop and manage large-scale data processing systems using SQL, Python, and PySparkImplement data lake architectures using Azure Data Lake Storage (ADLS) and Azure Blob Storage Work with Azure Functions, Event Hub, and streaming technologies for real-time data processing Collaborate with cross-functional teams to support analytics, reporting, and business intelligence needs Ensure data quality, governance, and security across all data platforms Implement CI/CD pipelines using Azure DevOpsMonitor and optimize system performance, reliability, and cost efficiency Required Qualifications5–7 years of experience in software development or data engineering Strong hands-on experience with SQL and data analytics Experience building data solutions using Azure Data Factory, Azure Databricks, and ADLSProficiency in Python, PySpark, and Spark-based processing Experience with data modeling, ETL/ELT pipelines, and large-scale data processing Strong understanding of data lake and lakehouse architectures Experience with version control and DevOps practices