Dimiour - Data Engineer - Snowflake

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