Big Data Infrastructure Engineer

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🕒 Setembro 2

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 12%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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LigaData

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🤖 Inteligência Artificial

📡 Telecomunicações

🤝 B2B

Artificial Intelligence • Telecommunications • B2B

A LigaData é uma empresa que fornece produtos e serviços de telecomunicações baseados em dados e inteligência artificial, personalizados para provedores de serviços de comunicação. Suas ofertas incluem o LigaData Telecom Data Fabric, que unifica e correlaciona dados de assinantes e operações, e a Plataforma de Dados LigaData, que oferece maneiras inovadoras e econômicas de gerenciar e analisar grandes volumes de dados. Eles também oferecem aplicativos de IA para atender a casos de uso de dados e análises de telecomunicações, além de fornecer vários serviços gerenciados e serviços profissionais para suportar seus produtos. A LigaData faz parcerias com grandes provedores de nuvem como Google Cloud Platform, Microsoft Azure e AWS para aprimorar suas soluções de tecnologia de telecomunicações com inovações em IA e nuvem.

Descrição

• Leverage AI-assisted tools to improve troubleshooting, log analysis, scripting, documentation, research, and operational efficiency while validating outputs before implementation • Identify repetitive operational activities and develop automation solutions using Shell/Bash, Python, Ansible, APIs, or other appropriate technologies • Evaluate emerging AI and automation capabilities and identify opportunities to improve infrastructure operations and engineering workflows • Administer, configure, manage, troubleshoot, and optimize Linux operating systems in production and non-production environments • Monitor and analyze CPU, memory, disk, filesystem, network, processes, and system services; perform configuration and performance tuning • Administer PostgreSQL, MySQL/MariaDB, and Redis, including configuration, access management, backup and recovery, monitoring, troubleshooting, maintenance, and performance optimization • Support database replication, high availability, backup/recovery, and capacity management • Support and maintain Docker and Kubernetes environments, including deployment, configuration, monitoring, troubleshooting, scaling, and cluster administration • Support clustered and distributed platforms, focusing on high availability, replication, failover, load balancing, quorum, capacity management, and disaster recovery • Support installation, configuration, monitoring, administration, and upgrades of Cloudera/Hortonworks and Hadoop-based environments • Support and troubleshoot HDFS, YARN, Hive, Spark, HBase, Kafka, Airflow, Superset, and Trino/Presto • Perform production monitoring and support using Zabbix and Grafana; participate in incident management, root cause analysis, and corrective/preventive actions • Support security integrations and technologies such as Ranger, LDAP, and Kerberos • Collaborate with development, infrastructure, and other technical teams on deployments, upgrades, infrastructure changes, troubleshooting, and production support • Maintain technical documentation, operational procedures, automation, and infrastructure configuration records

🎯 Requisitos

• 3–5 years of relevant hands-on experience in Linux/System Administration, Database Administration, Big Data Infrastructure, DevOps, or a related infrastructure role • Bachelor's Degree in Computer Science, Computer Engineering, Information Technology, or a related field • Strong AI-first and automation-driven mindset, with demonstrated ability to use AI-assisted tools effectively in technical workflows and critically validate generated recommendations before applying them • Good scripting and automation skills using Shell/Bash; knowledge of Python, Ansible, APIs, or similar technologies is highly desirable • Strong hands-on knowledge of Linux administration, including system configuration, service management, resource management, storage/filesystems, permissions, networking, troubleshooting, and performance optimization • Good hands-on knowledge of PostgreSQL, MySQL/MariaDB, and Redis administration, including configuration, backup and recovery, users and privileges, monitoring, maintenance, and performance tuning • Good understanding of database concepts including connections, transactions, locks, indexing, query performance, replication, and high availability • Good hands-on understanding of Docker and Kubernetes, including containers, images, pods, deployments, services, storage, networking, monitoring, resource management, and troubleshooting • Good understanding of clustering and distributed system concepts, including high availability, replication, failover, load balancing, and quorum • Good understanding of networking fundamentals, including TCP/IP, DNS, ports, routing, connectivity, and network troubleshooting • Good understanding of Big Data concepts and the Hadoop ecosystem, with familiarity or hands-on experience in HDFS, YARN, Hive, Spark, Kafka, and HBase • Familiarity with Cloudera or Hortonworks platforms is highly desirable • Familiarity with Zabbix/Grafana, Ranger/LDAP/Kerberos, CI/CD tools, and Trino/Presto is an advantage • Strong troubleshooting, analytical, and problem-solving skills, with the ability to investigate issues systematically and identify root causes • Ability to work effectively in production environments, collaborate across technical teams, take ownership of assigned activities, and continuously develop technical knowledge • Preferred certifications include RHCSA, RHCE, CKA, PostgreSQL or MySQL-related certifications/training, and Red Hat Ansible or other relevant automation certifications; certifications are advantageous and not a substitute for practical hands-on experience

🏖️ Benefícios

• Remote work arrangement • Full-time employment