0425 - 182QUA | Data Engineer - Snowflake
Summary
Build and maintain Snowflake data warehouses and Azure pipelines, writing SQL and stored procedures to deliver clean analytics solutions for clients.
Data Engineer - Snowflake
About the Role
We are seeking a skilled and motivated Data Engineer with 8+ years of experience to join our team. The ideal candidate will have expertise in data engineering on Snowflake, Azure (ADF), Microsoft MDS, SQL, and Data Pipelines, focusing on developing and maintaining Data Analytics solutions. You will collaborate with cross-functional teams to deliver high-quality data solutions that meet business requirements.
Key Responsibilities
Design, develop, and maintain data pipelines and data analytics solutions.
Implement and optimize Snowflake-based data warehouses.
Work with Azure Data Factory (ADF) to build ETL/ELT processes.
Develop and maintain SQL queries, stored procedures, and views.
Manage Master Data Services (MDS) within Microsoft technologies.
Collaborate with business and technical teams to gather and implement data requirements.
Ensure data quality, integrity, and security in all data processes.
Required Skills & Experience
Bachelor’s or Master’s 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 procedures, and views.
Hands-on experience with Snowflake SQL, Azure Data Factory (ADF), and Microsoft MDS (Master Data Services).
Solid understanding of data warehousing concepts and data modeling principles.
Experience with cloud platforms (Azure).
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 Power BI (PBI).