Sr Data Engineer

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 an experienced Senior Data Engineer with a strong foundation in Python, SQL, and Snowflake, and hands-on expertise in BigQuery, Databricks. In this role, you will build and maintain scalable data pipelines and architecture to support analytics, data science, and business intelligence initiatives. You’ll work closely with cross-functional teams to drive data reliability, quality, and performance.
Responsibilities:

• Contribute to the design and architecture of a lakehouse solution, potentially leveraging technologies such as Iceberg, Snowflake, and BigQuery.
• Build and maintain robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data.
• Partner with data scientists and analysts to provide high-quality, accessible, and well-structured data.
• Ensure data quality, governance, security, and compliance across pipelines and data stores.
• Monitor, troubleshoot, and improve the performance of data systems and pipelines.
• Participate in code reviews and help establish engineering best practices.
• Mentor junior data engineers and support their technical development.

• Studies in computer science, Engineering, or a related field.
• 5+ years of hands-on experience in data engineering, with at least 2 years working with Bigquery or Snowflake.
• English Level B2 or higher
• Strong programming skills in Python for data processing and automation.
• Advanced proficiency in SQL for querying and transforming large datasets.
• Solid understanding of data modelling, warehousing, and performance optimization techniques.
• Proven experience in data cataloging and inventorying large-scale datasets.
• Hands-on experience implementing and working with Medallion architecture in data lakehouse environments
• Iceberg, Data Mesh experience, dbt (Those are a Plus)

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.  

⚖️ Flexible working options to help you strike the right balance.    

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.