Data EngineerMinimum Mandatory Skills: ADF, Data BricksDesired Skills: Python, PySparkJob Description: Detailed JD - Key Responsibilities:Design and implement ETL/ELT pipelines using Azure Data FactoryDevelop and optimize data processing workflows in Azure Databricks using PySparkIntegrate data from multiple sources into a unified data platformEnsure data quality, security and compliance across all processesCollaborate with data architects, analysts and business teams to deliver reliable data solutionsMonitor and troubleshoot data pipelines for performance and reliabilityImplement best practices for data governance, metadata management and data lineageRequired Skills & Qualifications:6–8 years of experience in data engineering and data platform developmentStrong hands-on experience with Azure Data Factory, Azure Databricks and PySparkProficiency in SQL and working with relational databasesExperience with data modeling, data warehousing and big data processingFamiliarity with Azure ecosystem (Data Lake, Synapse, Key Vault, etc.)Strong problem-solving and debugging skills