Senior Snowflake Data Engineer (English B2)

Responsibilities

• Design scalable and efficient data models and analytical cubes in collaboration with stakeholders.
• Develop and maintain robust data pipelines using SQL and Python.
• Integrate data models and data services through APIs.
• Leverage Snowflake to build optimized, high-performance data solutions.
• Collaborate with cross-functional teams to support data infrastructure, reporting, and analytics initiatives.
• Ensure best practices in data architecture, modeling, and pipeline performance.
• Contribute to continuous improvement of data engineering standards and practices.
• Required Skills & Qualifications
• 5+ years of experience in Data Engineering or related roles.
• Strong proficiency in SQL and Python .
• Hands-on experience with Snowflake (minimum 1 year).
• Solid experience in data modeling for analytical and reporting use cases.
• Proven experience in API integrations .
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in cross-functional teams.
• Good communication skills and a proactive mindset.
• Preferred Skills
• Familiarity with AWS and cloud-based data solutions.
• Experience working in environments with large backlogs or multiple concurrent data projects.
• Exposure to modern data architectures and scalable pipeline design.
• Posted On: 25-06-2026
• At Coforge, we hire professionals based solely on their skills and qualifications. We are committed to building an inclusive workplace and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Benefits

Additional Information

Job Title: Senior Snowflake Data Engineer (2 Positions) Key Skills: Snowflake, Python, SQL, Data Modeling, API Integrations, Data Pipelines, AWS (Nice to have) Experience: 5+ years in Data Engineering Location: LATAM (Remote) We at Coforge are hiring Senior Snowflake Data Engineers with the following skill set. We are looking for two Senior Data Engineers (21999) to support our client in scaling their Data Engineering capabilities. The team is currently managing a backlog of ~170 projects, ranging from data infrastructure and database development to integrations and reporting initiatives. This is an excellent opportunity to work on high-impact, data-driven projects in a fast-paced, collaborative environment

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