Data Engineer

🔥 12 hours ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 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

• Design, build, and maintain scalable data pipelines and ingestion frameworks supporting batch processing, streaming, and change data capture patterns • Develop and optimize data processing workflows using Apache Spark and PySpark • Implement and manage data lake architectures on AWS using Amazon S3 and Apache Iceberg • Work with AWS Glue for ETL orchestration, Athena for serverless querying, and Lambda for event-driven data processing • Manage data access controls and security configurations using AWS IAM • Collaborate with data analysts, data scientists, and platform engineers to understand data requirements and deliver production-ready solutions • Monitor pipeline health and troubleshoot data quality issues • Implement improvements to ensure data reliability and freshness • Document data flows, architecture decisions, and engineering standards

🎯 Requirements

• Advanced hands-on experience with AWS services, including AWS Glue, Amazon S3, Amazon Athena, and AWS IAM • Experience with Apache Spark / PySpark for data processing • Knowledge of data lake architectures, ideally with Apache Iceberg • Experience with data ingestion patterns, including batch processing, streaming, and CDC patterns • Experience with SQL for data querying, validation, and exploratory analysis • Solid understanding of data modeling and large-scale data processing • Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly to non-technical stakeholders • Experience with infrastructure-as-code or pipeline orchestration tools such as Airflow, Step Functions, or dbt is a plus • Familiarity with AI-assisted development workflows and engineering productivity tools • English: Advanced, required for effective communication with global teams • 2+ years of experience in Data Engineering or related roles, with hands-on work building and maintaining cloud-based data pipelines and lake architectures on AWS

🏖️ Benefits

• Certifications in AWS, Databricks, and Snowflake • Access to AI learning paths • Study plans, courses, and additional certifications tailored to your 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 your location in LATAM