ERP Senior Specialist

Job Title: Azure Senior Data Engineer

Azure Data Engineer

Key Responsibilities

• Design, build, and manage scalable data pipelines using Azure Data Factory (ADF).
• Develop and optimize data transformations using Azure Synapse Analytics.
• Write efficient and reusable code in Python or PySpark for data wrangling and processing.
• Create, maintain, and optimize complex SQL queries and stored procedures.
• Collaborate with data scientists, analysts, and business stakeholders to understand data needs.
• Ensure data accuracy, consistency, and security across pipelines and storage layers.
• Monitor pipeline performance and troubleshoot data issues in production environments.
• Participate in architectural discussions and propose scalable, secure data solutions on Azure

Required Skills and Qualifications

• 8+ Years of Data and Analytics experience with minimum 5 years in Azure Data Engineer
• Extensive experience in Azure stack ADLS, Azure SQL DB, Azure Data Factory, Azure Data bricks, Azure Synapse, Cosmo DB, Analysis Services, Event Hub etc..
• Strong experience with Azure Data Factory (ADF) for ETL/ELT workflows.
• Design and build production data pipelines from ingestion to consumption within a big data architecture.
• Good experience in designing & delivering data analytics solutions using Azure Cloud native services.
• Good experience in Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data integration and data migration design
• Advanced knowledge of SQL including writing, optimizing, and troubleshooting queries.
• Experience with data modeling, data lakes, and data warehouse concepts.
• Familiarity with DevOps practices and CI/CD pipelines in data projects is a plus.
• Documentation of solutions (e.g. data models, configurations, and setup).
• Experienced in internal as well as external stakeholder management
• Azure Data Engineer or Azure Solution Architect certification will be added advantage.
• Excellent communication and interpersonal skills.
• Well versed with Waterfall, Agile, Scrum and similar project delivery methodologies.