Senior Data Engineer

🕒 May 8

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 55%

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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 and implement data ingestion architectures on Snowflake. • Design, develop, and implement scalable data pipelines and architectures on AWS. • Build and maintain ingestion pipelines integrating multiple data sources. • Define and implement data quality checks, validation schemas, and testing frameworks. • Establish data governance components including glossary definitions and data stewardship patterns. • Develop the Streamlit-based ingestion validation UI and its backend logic. • Collaborate with cross-functional teams to align technical solutions with business requirements. • Contribute to documentation and continuous improvement of data reliability and quality processes.

🎯 Requirements

• 3+ years of experience in data engineering • Strong hands-on experience in Snowflake-based ETL pipelines (Must) • Hands-on experience in Snowflake Cortex (Plus) • Hands-on experience building and maintaining data pipelines in AWS (Plus) • Experience building CI/CD pipelines for data workflows (Plus) • Solid understanding of data quality, validation frameworks, and governance practices • Experience with AWS - Snowflake data sharing over Iceberg tables (Plus) • Strong communication skills, with the ability to work independently and collaborate across technical and business teams • Experience with AWS ecosystem tools such as Glue, Athena, EMR, S3/Lambda, and infrastructure-as-code tools like CloudFormation, Terraform, or CDK, as well as dbt (Plus)

🏖️ 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.

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