Azure Data Engineer

Roles and Responsibilities:
   •    Design, develop, and maintain conceptual, logical, and physical data models to support business requirements and data governance standards. 
   •    Collaborate with cross-functional teams to understand business requirements and translate them into effective data models. 
   •    Implement efficient ETL processes using Azure Data Factory to extract, transform, and load data from various sources into data warehouses or data lakes. 
   •    Utilize Databricks for data processing, analytics, and machine learning tasks, leveraging its capabilities for scalable data engineering and data science workflows. 
   •    Optimize SQL queries and stored procedures for performance and efficiency in SQL Server environments. 
   •    Develop and maintain documentation related to data models, ETL processes, and data lineage to ensure transparency and compliance. 
   •    Perform data analysis and profiling to identify data quality issues, anomalies, and opportunities for improvement. 
   •    Collaborate with data engineers, data analysts, and other stakeholders to support data-driven decision-making and business insights. 
Requirements:
   •    Bachelor's degree in Computer Science, Information Technology, or related field. 
   •    Proven experience as a Data Modeler or similar role, with a strong background in data modeling principles and practices. 
   •    Hands-on experience with ETL tools such as Azure Data Factory for building data pipelines and workflows. 
   •    Proficiency in Databricks for data processing, analytics, and machine learning tasks. 
   •    Strong SQL skills with experience working in SQL Server environments. 
   •    Familiarity with cloud platforms such as Microsoft Azure is preferred. 
   •    Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. 
   •    Strong communication and collaboration skills, with the ability to work effectively in a team environment. 
   •    Experience in data modelling for JDE or any similar ERP system. 
   •    Manufacturing domain knowledge is required.