Lead Data Engineer

🔥 1 minute 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 and maintain scalable data pipelines and data solutions in Databricks using Unity Catalog and Delta • Curate Genie spaces and semantic layers with metadata, certified metric definitions, example SQL, and trusted assets • Maintain and refactor Git/GitHub repositories and develop modular, reusable data components • Implement CI/CD workflows and promote Databricks solutions from development to controlled UAT environments • Model marketing performance data, including email events, campaign and promotion history, offers, packages, and tours • Build point-in-time audience histories and connect marketing sends with downstream sales outcomes • Develop person- and household-grain data solutions using ID crosswalks and identity-match rules • Implement suppression, consent, Do Not Email, marketability, and PII-handling requirements • Ingest and integrate SQL Server enterprise data warehouse data • Translate legacy SQL audience logic into governed definitions • Deliver audiences from Databricks to Adobe Campaign or Segment with service accounts, encryption, and auditing • Profile unfamiliar data sources and produce data dictionaries and ERDs • Develop data-quality tests and validated query/result sets • Collaborate with analytics, engineering, marketing, data, and security teams

🎯 Requirements

• 5+ years of experience in Data Engineering or similar roles • Hands-on experience developing data pipelines in Databricks, including Unity Catalog and Delta • Strong hands-on experience with Python for data processing and transformation • Strong SQL skills, including understanding and translating complex existing SQL logic • Experience with Git-based development and CI/CD, preferably using Databricks Asset Bundles or equivalent • Experience with Azure and promoting data solutions across development and controlled UAT environments • Experience modeling data for marketing analytics, customer data, or similar business domains • Experience with customer identity, person/household data, ID crosswalks, and identity matching rules • Experience handling consent, suppression, marketability, and PII requirements • Experience integrating data from SQL Server enterprise data warehouses • Ability to independently profile unfamiliar data sources and document findings through data dictionaries and ERDs • Strong analytical and problem-solving skills • Strong communication and collaboration skills • Excellent written and verbal English

🏖️ 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