Lead Data Engineer

🔥 1 minute ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 18%

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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

• Lead the design and implementation of data ingestion and transformation solutions using SQL and dbt • Own end-to-end ELT pipelines using dbt and Athena • Design and enforce data quality frameworks, including validation rules, testing strategies, and monitoring • Apply Medallion Architecture best practices across data pipelines • Develop and optimize Athena SQL queries and dbt models • Develop and enhance data validation and ingestion frameworks, including Streamlit-based UI components when needed • Guide best practices in SQL, dbt, data engineering, governance, and pipeline reliability • Identify risks, bottlenecks, and data quality issues and implement mitigation strategies • Drive documentation and continuous improvement of data platform processes • Build reliable, scalable, and high-quality data pipelines supporting business and analytics workflows

🎯 Requirements

• 5+ years of experience in Data Engineering • Strong hands-on experience with SQL (Must) • Strong hands-on experience with dbt (Must) • Strong experience building ELT pipelines and data transformation solutions • Strong experience working with AWS Athena and writing complex SQL queries • Solid understanding of data modeling and large-scale data processing • Experience with AWS services and data platforms (Plus) • Experience with Glue, S3, EMR, Lambda, Terraform, or CloudFormation (Plus) • Client-facing leadership capabilities • Excellent communication skills • Proactive mindset

🏖️ Benefits

• Certifications in AWS, Databricks, and Snowflake • Access to AI learning paths • Study plans, courses, and additional certifications tailored to the role • Access to Udemy Business • English lessons • Travel opportunities to attend industry conferences and meet clients • Career development plans and mentorship programs • Special day rewards for birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to location in LATAM