Job Description We are seeking a skilled and motivated Data Engineer with 8+ years of experience to join our team. The ideal candidate should be experienced in data engineering on Snowflake, Azure -ADF, Microsoft MDS, SQL ,Data Pipelines with a focus on developing, maintaining the Data Analytics solutions. You will collaborate with cross-functional teams to deliver high-quality data solutions that meet business requirements. Required Skills And Experience Bachelor or Master degree in computer science, Data Science, Engineering, or a related field. 8+ years of experience in data engineering or related fields. Strong proficiency in SQL, Snowflake, Stored procedure, Views . Hands-on experience with Snowflake SQL, ADF (Azure Data Factory), Microsoft MDS(Master Data Service). Knowledge of data warehousing concepts. Experience with cloud platforms (Azure). Understanding of data modeling and data warehousing principles. Strong problem-solving and analytical skills, with attention to detail. Excellent communication and collaboration skills. Bonus Skills Exposure to CI/CD practices using Microsoft Azure DevOps . Basic knowledge or understanding of PBI. Key Responsibilities Design, develop, and maintain scalable and efficient data pipelines using Azure Data Factory (ADF). Build and optimize data models and data warehousing solutions within Snowflake. Develop and maintain data integration processes, ensuring data quality and integrity. Utilize strong SQL skills to query, transform, and analyze data within Snowflake. Develop and manage stored procedures and views in Snowflake. Implement and manage master data using Microsoft Master Data Services (MDS). Collaborate with data analysts and business stakeholders to understand data requirements and deliver effective data solutions. Ensure the performance, reliability, and security of data pipelines and data warehousing systems. Troubleshoot and resolve data-related issues in a timely manner. Stay up-to-date with the latest advancements in data engineering technologies, particularly within the Snowflake and Azure ecosystems. Contribute to the documentation of data pipelines, data models, and ETL processes (ref:hirist.tech) Show more Show less