
Dimiour - Data Engineer - Snowflake
1 week 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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