Opportunity-Azure Data Engineer- Immediate (India)

Job Description: Job Description: We are seeking an experienced Azure Data Engineer to join our team. The ideal candidate will have a solid background in designing, developing, and managing ETL processes and data pipelines on the Microsoft Azure platform. Proficiency in Azure Data Factory (ADF), PySpark, and CI/CD pipelines is essential. The role requires a hands-on approach to design, modeling, development, and delivery, with a focus on scalable and reliable enterprise solutions. Key Responsibilities: Development: - Hands-on design, modeling, development, and delivery of data solutions. - Strong working knowledge of Azure services and components, with the ability to integrate various components into a scalable, reliable, and sustainable enterprise solution. - Develop and maintain ETL processes and data pipelines using Azure Data Factory (ADF). - Optimize data transformation processes using PySpark. - Production experience delivering CI/CD pipelines across Azure and vendor products. - Contribute to the design and development of enterprise standards. - Key knowledge of architectural patterns across code and infrastructure development. Requirements: Technical Skills and Experience: - Bachelors or masters degree in computer science, Engineering, Data Science, or equivalent experience, with a preference for experience and a proven track record in advanced, innovative environments. - 7-8 years of professional experience in data engineering. - Strong expertise in Microsoft Azure data services, particularly Azure Data Factory (ADF) and PySpark. - Experience with data pipeline design, development, and maintenance. - Proficiency in SQL and experience with NoSQL databases. - Knowledge of ETL/ELT processes and tools. - Familiarity with big data technologies such as Hadoop and Spark. - Experience with Azure Databricks, Data Lake, SQL Database, and other Azure data services. - Production experience delivering CI/CD pipelines across Azure and vendor products. - Knowledge .