Azure Data Engineer

Job Description

Job ID: Azu-ETP-Pun-1199 Location: Pune,Other Job Summary: We are seeking a skilled and experienced Azure Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining data solutions on the Azure cloud platform. The candidate should have a strong background in data engineering, including ETL processes, data warehousing, and database management. The role requires expertise in Azure services such as Azure Data Factory, Azure SQL Database, Azure Databricks, MDM process implementation and other relevant technologies. The Azure Data Engineer will collaborate with cross-functional teams to ensure the successful delivery of scalable and efficient data solutions. Minimum 5-8 Years of Experience in Data Integration platform on cloud (Azure preferred) Responsibilities Solution Design and Architecture: Collaborate with stakeholders to understand business requirements and design scalable data solutions on the Azure platform. Create and maintain data architecture diagrams and documentation. MDM Tool & System Management Configure and maintain the MDM platform (e.g., Profisee) including data models, matching rules, survivorship logic, and hierarchy management. Oversee the integration and synchronization of master data between the MDM hub and consuming systems (e.g., ERP, CRM, BI tools). Act as the main point of contact for resolving complex master data issues and system errors. Data Ingestion and ETL: Develop and implement ETL processes using Azure Data Factory, Azure Databricks, and other relevant tools. Design and optimize data pipelines to ensure efficient data processing and transformation. Data Storage and Management: Implement and manage Azure SQL Database, Azure Data Lake Storage, and other Azure data storage solutions. Ensure data integrity, security, and compliance with industry best practices and organizational standards. Data Transformation and Processing: Utilize Azure Databricks and other tools for data transformation and processing. Optimize queries and data processing workflows for performance and efficiency. Monitoring and Optimization: Implement monitoring solutions to track the performance and health of data solutions. Identify and resolve performance bottlenecks and optimize data processing workflows. Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders. Communicate effectively with technical and non-technical audiences, providing insights and recommendations. Automation and Scripting: Develop scripts and automation processes to streamline data engineering tasks. Implement infrastructure as code (IaC) for managing Azure resources. Qualifications Bachelor?s degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer with a focus on Azure cloud technologies. In-depth knowledge of Azure Data Factory, Azure SQL Database, Azure Databricks, and other relevant Azure services. Strong proficiency in SQL, Python, and/or other scripting languages. Experience with data modeling, schema design, and database performance tuning. Familiarity with data warehousing concepts and best practices. Excellent problem-solving and analytical skills. Effective communication and collaboration skills. Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are a plus. If you meet these qualifications and are excited about the opportunity to work with cutting-edge Azure technologies to solve complex data challenges, we encourage you to apply. Join our team and be a key contributor to the success of our data-driven initiatives.