Snowflake Data Engineer (Git & Informatica)

Job description

Share your resume over **Aarushi.Shukla@Coforge.Com** **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.