Role : Data Engineer-Snowflake Job Description 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 ETL/ELT data pipelines using Azure Data Factory (ADF) to ingest, transform, and load data into Snowflake. Develop and optimize complex SQL queries, stored procedures, and views within Snowflake for data transformation, aggregation, and consumption. Implement and manage master data solutions using Microsoft Master Data Services (MDS) to ensure data consistency and quality. Collaborate with data architects, data scientists, and business stakeholders to understand data requirements and translate them into technical specifications and data models. Design and implement data warehousing solutions in Snowflake, adhering to best practices for performance, scalability, and security. Monitor, troubleshoot, and optimize data pipeline performance and data quality issues. Ensure data integrity, accuracy, and reliability across all data solutions. Participate in code reviews and contribute to the continuous improvement of data engineering processes and standards. Stay updated with the latest trends and technologies in data engineering, cloud platforms (Azure), and Snowflake (ref:hirist.tech) Show more Show less