Lead Data Engineer

🔥 0 minutes ago

🇦🇷 Argentina – 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

• Own the middle layer of the data pipeline, combining Quantum interaction data with account, device, and other operational data sources • Build and maintain ETL workflows on daily, weekly, and monthly schedules • Develop and manage AWS processing resources • Validate outputs and prepare reliable datasets for Tableau • Design and maintain application data structures that minimize compute requirements and support efficient dashboard performance • Investigate data discrepancies • Troubleshoot pipeline issues • Adapt workflows as application features and reporting needs evolve • Collaborate with the engineering lead, data engineers, application developers, and data product owners

🎯 Requirements

• 5+ years of experience in Data Engineering, Data Architecture, or a related field • Strong hands-on AWS experience, including managing resources for data processing • Proficiency in SQL • Experience with Spark • Experience building ETL pipelines • Experience integrating multiple data sources • Experience organizing data for analytics • Investigative mindset and ability to independently work through ambiguous technical problems • Collaborative approach and ability to take ownership of assigned work within an established team • Advanced English (B2+)

🏖️ 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 courses • 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