Data Engineer

Azure Data Engineer with 6+ years of experience designing, developing, and optimizing enterprise-scale data platforms using Microsoft Azure and Snowflake Proven expertise in building scalable data pipelines, data warehouses, and analytics solutions leveraging Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Snowflake, Python, SQL, and Spark Experienced in data modeling, ETL/ELT development, cloud migration, performance tuning, data governance, and implementing CI/CD practices Strong background in integrating data from multiple sources and enabling business intelligence and advanced analytics solutions Key Skills: Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics Snowflake Data Cloud Python, PySpark, SQL Azure Data Lake Storage (ADLS Gen2) Azure Functions Delta Lake Data Warehousing & Data Modeling ETL / ELT Development CI/CD (Azure DevOps, Git) Performance Tuning & Optimization Data Governance & Security Power BI Integration Agile & Scrum Methodologies What you will do: Design, develop, and maintain scalable data engineering solutions on Azure and Snowflake platforms Build and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and Snowflake to ingest, transform, and load data from various structured and unstructured sources Develop and maintain enterprise data warehouses, data marts, and analytical datasets supporting reporting, BI, and advanced analytics initiatives Implement data transformation and orchestration processes using PySpark, SQL, Python, and Snowflake stored procedures Design and manage cloud-based data lakes using Azure Data Lake Storage (ADLS Gen2) and Delta Lake architecture Collaborate with business stakeholders, data analysts, and architects to gather requirements and translate them into scalable data solutions Monitor and optimize data pipeline performance, ensuring reliability, scalability, and cost efficiency Implement data quality frameworks, validation rules, and monitoring processes to ensure