Data Engineer

Job Summary:

We are looking for a talented and experienced Data Engineer with 5+ years of hands-on experience in designing and building scalable data solutions. The ideal candidate will have strong expertise in Snowflake, Azure Data Services, and ETL tools such as SnapLogic or similar platforms. This role involves working closely with data architects, analysts, and business teams to deliver high-quality data pipelines and solutions.

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Key Responsibilities:

· Design, develop, and maintain robust data pipelines and ETL workflows using SnapLogic or similar tools.

· Implement and optimize data solutions on Snowflake, ensuring performance, scalability, and security.

· Manage and monitor data operations in Azure, including data factory, storage, and other cloud services.

· Collaborate with cross-functional teams to understand data requirements and deliver solutions aligned with business goals.

· Ensure data quality, integrity, and governance across all stages of the data lifecycle.

· Troubleshoot and resolve data-related issues in production and development environments.

· Document technical designs, processes, and best practices.

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Required Qualifications:

· Bachelor’s degree in computer science, Engineering, or related field.

· 5+ years of experience in data engineering or related roles.

· Strong experience with Snowflake (data loading, transformation, performance tuning).

· Hands-on experience with Azure Data Services (Data Factory, Blob Storage, Synapse, etc.).

· Proficiency in ETL tools like SnapLogic, Informatica, Talend, or similar.

· Solid understanding of SQL and data modeling concepts.

· Experience with scripting languages such as Python or Shell for automation.

· Familiarity with CI/CD practices and version control tools (e.g., Git).