Data Engineer

Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines using Microsoft Fabric, Azure Data Factory (ADF), and Databricks.Build and optimize enterprise data models for reporting, analytics, and business intelligence.Develop ETL/ELT solutions to ingest, transform, and load data from multiple sources.Work with structured and unstructured data stored in ADLS, Oracle, and Snowflake.Develop data transformation and automation solutions using Python.Optimize data processing performance and ensure data quality, reliability, and governance.Collaborate with business stakeholders, architects, and analytics teams to deliver data-driven solutions.Troubleshoot production issues and provide ongoing support for data platforms.Required Skills7+ years of experience as a Data Engineer.Strong hands-on experience with: Microsoft Fabric, Azure Data Factory (ADF), Databricks & Data ModelingExperience with: Azure Data Lake Storage (ADLS), Snowflake, Oracle Database & PythonStrong SQL and data warehousing concepts.Experience building scalable ETL/ELT pipelines.Excellent analytical, problem-solving, and communication skills.Preferred QualificationsExperience working in large enterprise or cloud-native environments.Microsoft Azure certifications are a plus.Experience with CI/CD and DevOps practices is preferred.