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Java Developer with Hadoop

  • Java Developer with Hadoop job type Posted on: Oct 17, 2026
  • Java Developer with Hadoop experience level Envision Technology Solutions
  • Java Developer with Hadoop employment type Charlotte, North Carolina
  • Java Developer with Hadoop employment type Onsite
  • Java Developer with Hadoop salary Full-time

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Job Title :

Java Developer with Hadoop

Job Type :

Full-Time

Job Location :

Charlotte North Carolina United States

Remote :

No

Jobcon Logo Job Description :

Job Description

Role : Java Developer

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Location: Charlotte, NC, Dallas TX , Newark DE

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Must Have Technical/Functional Skills

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

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Secondary: Kafka

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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.

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Must Have Skills

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• Java 10+/11+/17+

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• Spring Boot

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• Microservices Architecture

\n

• RESTful Web Services

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• Kafka

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• OpenShift / Kubernetes

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• Oracle SQL / PL-SQL

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• JUnit, Mockito

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• Git, Maven, CI/CD

\n

• Basic to Intermediate Hadoop ecosystem experience

\n


\n


\n

Required Technical Skills

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• Strong hands-on experience with Java, Spring Boot, and Microservices.

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• Experience developing RESTful APIs and backend services.

\n

• Knowledge of Kafka and event-driven architecture.

\n

• Experience with OpenShift, Docker, or Kubernetes.

\n

• Good understanding of relational databases such as Oracle or SQL Server.

\n

• Familiarity with CI/CD pipelines using Jenkins, GitLab, or similar tools.

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• Understanding of software design patterns and secure coding practices.

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Hadoop Experience (Good to Have / Secondary Skill)

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Candidate should possess working knowledge of:

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• Hadoop ecosystem concepts (HDFS, YARN, Hive)

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• Basic Hive query development and troubleshooting

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• Understanding of data ingestion and batch processing workflows

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• Experience working with Hadoop-based data platforms in support of application development

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• Exposure to Spark is a plus

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Jobcon Logo Position Details

Posted:

Oct 17, 2026

Reference Number:

f4feb0d5638abe88

Employment:

Full-time

City:

Charlotte

Job Origin:

ziprecruiter

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Job Description

Role : Java Developer

\n

Location: Charlotte, NC, Dallas TX , Newark DE

\n


\n


\n

Must Have Technical/Functional Skills

\n

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

\n

Secondary: Kafka

\n


\n

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.

\n

Must Have Skills

\n

• Java 10+/11+/17+

\n

• Spring Boot

\n

• Microservices Architecture

\n

• RESTful Web Services

\n

• Kafka

\n

• OpenShift / Kubernetes

\n

• Oracle SQL / PL-SQL

\n

• JUnit, Mockito

\n

• Git, Maven, CI/CD

\n

• Basic to Intermediate Hadoop ecosystem experience

\n


\n


\n

Required Technical Skills

\n

• Strong hands-on experience with Java, Spring Boot, and Microservices.

\n

• Experience developing RESTful APIs and backend services.

\n

• Knowledge of Kafka and event-driven architecture.

\n

• Experience with OpenShift, Docker, or Kubernetes.

\n

• Good understanding of relational databases such as Oracle or SQL Server.

\n

• Familiarity with CI/CD pipelines using Jenkins, GitLab, or similar tools.

\n

• Understanding of software design patterns and secure coding practices.

\n

Hadoop Experience (Good to Have / Secondary Skill)

\n

Candidate should possess working knowledge of:

\n

• Hadoop ecosystem concepts (HDFS, YARN, Hive)

\n

• Basic Hive query development and troubleshooting

\n

• Understanding of data ingestion and batch processing workflows

\n

• Experience working with Hadoop-based data platforms in support of application development

\n

• Exposure to Spark is a plus

\n


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