Snowflake Data Engineer (Git & Informatica)

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Job Description

The Data Engineer will play a key role in designing, developing, and maintaining enterprise-grade ELT/ETL solutions within a Snowflake-based data warehouse environment.

The ideal candidate will possess strong SQL expertise, hands-on Snowflake and Informatica experience, and a solid background in ETL/ELT development using modern data engineering tools and practices.

Responsibilities

• Design, develop, and maintain ELT/ETL solutions within Snowflake and related cloud ecosystems.
• Produce detailed design specifications, technical documentation, and unit test plans.
• Critically analyze business requirements and translate them into robust, scalable data solutions.
• Architect and implement data models for data warehouse, data lake, and data hub environments.
• Develop and maintain data engineering standards, coding practices, and reusable frameworks.
• Work closely with product managers to identify gaps and develop actionable remediation plans.
• Partner with business stakeholders and technology teams to implement product and data enhancements.
• Adhere to CI/CD processes, source code management practices, and branching strategies (Git).

Required Qualifications

• Strong proficiency in SQL, ELT/ETL design, and data transformation.
• Minimum 4-6 years of ETL/ELT experience using tools such as Informatica, Databricks, Snowflake, and Azure Data Factory.
• Minimum 2-4 years of data engineering experience working with enterprise data pipelines.
• At least 1-2 years of hands-on Snowflake experience.
• 2-4 years working in Agile/Scrum environments.