Dimiour - Data Engineer - Snowflake
3 weeks ago
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)
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