Lead Backend Data Engineer

🕒 September 17

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 33%

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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 and build scalable backend systems using Java • Lead the architecture and implementation of distributed systems across complex multi-service environments handling large-scale data processing • Develop and optimize concurrent and multi-threaded applications • Build and maintain big data pipelines and infrastructure for high-volume data ingestion, processing, and storage • Manage containerized workloads using Kubernetes, including deployment strategies, scaling policies, and resource management • Mentor junior and mid-level engineers on backend best practices, system design, and performance optimization • Collaborate with cross-functional teams to define service contracts, APIs, and integration patterns • Implement observability and monitoring solutions • Support production deployments, troubleshoot complex issues, and drive continuous improvement initiatives

🎯 Requirements

• Deep proficiency in Java with strong understanding of advanced language features and best practices • Solid expertise in concurrency patterns, multi-threading, thread synchronization (locks, barriers, mutexes), atomic operations, and volatile semantics • Proven hands-on experience designing and implementing distributed systems at scale • Strong SQL expertise with ability to design and optimize database queries and schemas • Hands-on experience with Apache Spark and Apache Airflow for data processing and pipeline orchestration • Practical knowledge of Kubernetes for container orchestration and service management • Experience with system profiling, performance analysis, and optimization techniques • Familiarity with monitoring and observability tools such as Grafana, Prometheus, or Loki • Spring Framework or other modern Java backend frameworks is a plus • Kafka or event-streaming architectures is a plus • Reactive programming frameworks or reactive systems design is a plus • Apache Pinot or similar analytical data stores is a plus • Terraform or Infrastructure as Code is a plus • GitLab CI, Jenkins (Groovy), or similar CI/CD tools is a plus • GCP or other cloud platforms is a plus • AI-assisted development tools (GitHub Copilot, Claude, etc.) is a plus • English: Advanced (required for effective communication with global teams) • 5+ years of experience in Backend Engineering or related disciplines such as Systems Engineering or Full-Stack Development, with demonstrated expertise in distributed systems and multi-threaded application design

🏖️ Benefits

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake • Access to AI learning paths to stay up to date with the latest technologies • Study plans, courses, and additional certifications tailored to your role • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills • English lessons to support your professional communication • Travel opportunities to attend industry conferences and meet clients • Career development plans and mentorship programs • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to your location in LATAM

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