Lead Data Engineer

🔥 12 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Build, maintain, and optimize scalable data solutions for Journey Analytics initiatives • Maintain and automate existing GitHub code repositories • Refactor legacy code for simpler maintenance, updates, and reuse • Design and build modular, reusable code components • Develop and manage automated Databricks data pipelines • Consolidate KPIs, metrics, and attributes into standardized data structures • Build and maintain scalable data models for journey analytics • Ensure data quality, performance, and reliability across pipelines and analytics datasets • Collaborate with analytics and engineering teams to improve data processes and architecture

🎯 Requirements

• Hands-on experience developing and maintaining data pipelines in Databricks • Strong hands-on experience with Python for data processing and transformation • Strong experience with SQL and large-scale datasets • Experience in data validation, data transformation, and normalization • Experience building and maintaining ETL pipelines and handling data ingestion workflows • Strong attention to detail with a focus on data quality and reliability • Strong understanding of data modeling and reusable component design • Experience building scalable data models for analytics and reporting use cases • Strong focus on data quality, performance, and reliability • Ability to work in cross-functional environments and contribute to continuous improvement • Excellent written and verbal English • At least 5+ years of experience in data engineering or similar roles

🏖️ 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