Data Engineer

🕒 May 26

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🤖 Artificial Intelligence

🏢 Enterprise

💰 $100M Private Equity Round on 2022-08

Artificial Intelligence • Enterprise • Consulting

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

• Contribute to the design and development of scalable data pipelines on AWS (Glue, S3, Athena, Step Functions). • Build and optimize batch and streaming ingestion pipelines, including CDC-based architectures. • Support the design and implementation of data models aligned with business and analytics needs. • Ensure data quality, reliability, and performance across pipelines and datasets. • Collaborate with cross-functional teams to align technical solutions with business requirements. • Apply best practices in data engineering, including modular design, reusability, and governance. • Leverage AI-assisted development tools to improve productivity and code quality. • Proactively identify risks, bottlenecks, and optimization opportunities across data workflows.

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or equivalent field. • Hands-on experience with the AWS ecosystem, including Glue, S3, Athena, and Step Functions (required). • Solid proficiency in Python and PySpark for data pipeline development (required). • Experience with Snowflake or similar cloud data warehouse platforms (plus). • Understanding of data pipeline architecture and design patterns. • Exposure to CDC (Change Data Capture) patterns and streaming ingestion. • Experience with data modeling for analytics and reporting use cases. • Familiarity with AI-assisted development tools (plus). • Strong problem-solving skills and ability to work effectively in collaborative, agile environments. • English: Advanced (required for effective communication with global teams).

🏖️ 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. • Travel opportunities to attend industry conferences and meet clients. • 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.