Azure Data Engineer

Job description

**Key Responsibilities** - Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF). - Perform data extraction, transformation, and loading (ETL/ELT) for business reporting and analytics requirements. - Migrate databases and data workloads from AWS environments to Azure platforms. - Implement robust and scalable data solutions on Azure Cloud. - Develop automation and data processing scripts using Python. - Write, optimize, and maintain complex SQL queries, stored procedures, and database objects. - Monitor data pipelines and troubleshoot performance bottlenecks. - Conduct database and query performance tuning to improve system efficiency. - Work closely with business stakeholders, architects, and development teams to understand data requirements. - Ensure data quality, reliability, and governance across data platforms. **Required Skills** - 3+ years of experience as a Data Engineer. - Strong expertise in Azure Data Factory (ADF). - Hands-on experience with SQL development and query optimization. - Proficiency in Python scripting and data processing. - Experience building and maintaining Azure data pipelines. - Experience in AWS to Azure data migration projects. - Knowledge of Azure monitoring and performance tuning practices. **Preferred Skills** - Azure Synapse Analytics. - Azure Data Lake Storage (ADLS). - ETL/ELT development experience. - Azure SQL Database. - Cloud migration and modernization projects. - Data warehousing concepts and best practices. **Desired Candidate Profile** - Strong analytical and problem-solving skills. - Good communication and stakeholder management abilities. - Ability to work independently and within Agile teams. - Proactive approach toward process improvement and automation.