Senior Data Engineer (Snowflake)

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com  

We are looking for a Senior Data Engineer with strong expertise in Snowflake to join a project for a leading company in the hospitality industry, in partnership with Snowflake. The role involves building and optimizing a data ingestion and processing pipeline from Adobe Experience Manager (AEM) to Snowflake, integrating with Snowflake Cortex AI to enable advanced search and conversational agent features. This position requires hands-on experience with data pipelines, unstructured data ingestion, and ETL processes.

• Design, develop, and implement a robust AEM-to-Snowflake data ingestion pipeline.

• Process and transform unstructured data sources (PDFs, images, text) for downstream analytics.

• Integrate Snowflake Cortex AI to support conversational search and retrieval-augmented generation (RAG) use cases.

• Optimize ETL processes for scalability and performance.

• Collaborate closely with data scientists and AI engineers to support advanced search and conversational agent features.

• Ensure data quality, security, and compliance with industry standards.

• Provide technical guidance and knowledge sharing within the team.

• Proven expertise in Snowflake as a primary data platform.

• Strong proficiency in Python for data engineering tasks.

• Experience in building and maintaining ETL pipelines and data ingestion processes.

• Hands-on experience with unstructured data formats and ingestion workflows.

• Familiarity with PySpark is a plus.

• Knowledge of Snowflake Cortex AI or other conversational AI frameworks is a strong plus.

• Familiarity with Adobe Experience Manager (AEM) is a plus.

• Experience working with Generative AI (GenAI) technologies is a plus.

• Ability to work independently in a proof-of-concept environment.

• Strong problem-solving and collaboration skills.

What about languages?

• Advanced English level (both written and spoken) is required.

How much experience must I have?

• Minimum 5 years of experience in data engineering or related roles.

Our Perks and Benefits: 

📚 Learning Opportunities: 

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. 

• Access to AI learning paths to stay up to date with the latest technologies. 

• Study plans, courses, and additional certifications tailored to your role. 

• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. 

• English lessons to support your professional communication. 

👩‍🏫 Mentoring and Development: 

• Career development plans and mentorship programs to help shape your path. 

🎁 Celebrations & Support: 

• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. 

• Company-provided equipment.  

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.