Senior Snowflake Engineer

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Design, develop, and maintain scalable ETL/ELT pipelines using Matillion • Build and optimize data warehouse solutions on Snowflake • Develop data processing frameworks and automation scripts using Python • Create and maintain data models, transformations, and workflows for business analytics • Optimize Snowflake performance through query tuning, clustering, and warehouse management • Integrate data from structured and unstructured sources • Collaborate with business stakeholders, analysts, and cross-functional engineering teams • Implement data quality, validation, monitoring, and error-handling mechanisms • Participate in code reviews, testing, deployment, and production support • Follow security, governance, and documentation best practices

🎯 Requirements

• 4 to 8 years of experience in Data Engineering • Strong hands-on experience with Python, Matillion, and Snowflake • Experience building ETL/ELT pipelines and data integration solutions • Strong SQL skills, including query optimization • Understanding of data warehousing concepts and dimensional data modeling • Experience with AWS, Azure, or GCP • Knowledge of Git, CI/CD pipelines, and Agile methodologies • Experience with orchestration tools such as Airflow • Knowledge of REST APIs and data integration techniques • Familiarity with data governance and security best practices • DBT exposure is an added advantage