Hadoop Developer

Covetus; Dallas (TX); Presencial; USD 110.000 - 160.000; Jornada completa

Descripción de la vacante

Covetus is seeking a Java Developer in Dallas, TX to build scalable backend applications using Java 10+ and Spring Boot. You will design microservices, REST APIs, and cloud-native solutions while collaborating with cross-functional teams.

Exposure to Hadoop ecosystem is a plus as you support data-intensive applications and data integrations. You will participate in code reviews, testing, deployment, and production support to deliver high-quality software.

Formación

• Strong hands-on Java 10+ with Spring Boot and microservices.
• Experience building RESTful APIs and backend services.
• Familiar with Hadoop ecosystem; data processing knowledge.
• OpenShift, Docker, or Kubernetes experience.
• CI/CD pipelines using Jenkins, GitLab, or similar tools.

Responsabilidades

• Develop, test, deploy and maintain enterprise Java applications.
• Design and implement scalable microservices and REST APIs.
• Collaborate with cross-functional teams and participate in code reviews.
• Support data processing workflows on Hadoop-based platforms.

Conocimientos

Java

Spring Boot

Microservices

REST APIs

Cloud-native

CI/CD

Herramientas

Git

Maven

OpenShift

Docker

Kubernetes

Oracle/SQL Server

Hadoop

Kafka

Hive

Descripción del empleo

Primary Skill: Spring boot, Core java, Hadoop, pyspark, Hive

Secondary: Kafka

We are seeking a Java Developer with strong expertise in Java 10+ and modern backend application development. The ideal candidate should have hands‑on experience in building scalable microservices, REST APIs, and cloud-native applications. Exposure to Hadoop ecosystem technologies is required to support data-intensive applications and integrations, though this is not a core Hadoop development role.

Must Have Skills

• Git, Maven, CI/CD
• Basic to Intermediate Hadoop ecosystem experience
• Design, develop, and maintain enterprise applications using Java and Spring Boot.
• Develop scalable Microservices and REST APIs.
• Integrate applications with distributed data platforms and messaging systems.
• Collaborate with cross‑functional teams to deliver high‑quality solutions.
• Participate in code reviews, testing, deployment, and production support.
• Optimize application performance and scalability.
• Support data processing and integration workflows involving Hadoop-based platforms.

Required Technical Skills

• Strong hands‑on experience with Java, Spring Boot, and Microservices.
• Experience developing RESTful APIs and backend services.
• Knowledge of Kafka and event‑driven architecture.
• Experience with OpenShift, Docker, or Kubernetes.
• Good understanding of relational databases such as Oracle or SQL Server.
• Familiarity with CI/CD pipelines using Jenkins, GitLab, or similar tools.
• Understanding of software design patterns and secure coding practices.

Hadoop Experience (Good to Have / Secondary Skill)

Candidate should possess working knowledge of:

• Hadoop ecosystem concepts (HDFS, YARN, Hive)
• Basic Hive query development and troubleshooting
• Understanding of data ingestion and batch processing workflows
• Experience working with Hadoop-based data platforms in support of application development
• Exposure to Spark is a plus

Note: Hadoop is a secondary skill. Candidates are not expected to perform deep Hadoop administration, cluster management, or advanced big‑data engineering.

Preferred Skills

• Domain experience in Banking/Financial Services