Job Description


Job Overview

  • Job ID:

    J54777

  • Job Title:

    Java Developer

  • Location:

    Dallas, TX

  • Duration:

    10 Months + Extension

  • Domain Exposure:

    Consumer Discretionary

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

  • Work Authorization:

    US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title : Java Developer

Location: Dallas,TX

Duration: 10 Months

Bill Rate: $87/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

We are looking for an experienced Java Developer with strong hands-on expertise in Apache Spark, distributed computing, and big data technologies. The ideal candidate should have experience developing scalable, high-performance applications and processing large volumes of data using Java and Spark.

 Key Responsibilities:

  • Design, develop, and maintain enterprise-level applications using Java.

  • Develop data processing applications using Apache Spark.

  • Build scalable and distributed data processing solutions.

  • Work with large datasets using Spark Core, Spark SQL, and Data Frames.

  • Develop and optimize ETL/ELT pipelines.

  • Implement RESTful APIs and microservices using Spring Boot.

  • Perform performance tuning and optimization of Spark jobs.

  • Integrate applications with databases, data lakes, and cloud platforms.

  • Collaborate with data engineers, architects, and cross-functional teams.

  • Follow coding standards, perform code reviews, and troubleshoot production issues.

 Required Technical Skills:

  • Strong experience in Core Java, J2EE, and Java 8/11/17.

  • Hands-on experience with Apache Spark.

  • Good knowledge of Spark Core, Spark SQL, DataFrames, and RDDs.

  • Experience with distributed computing and parallel processing.

  • Strong understanding of Spring Boot and Microservices.

  • Experience with REST APIs and web services.

  • Knowledge of SQL and relational databases.

  • Experience with Kafka or other messaging technologies.

  • Familiarity with Hadoop, Hive, HDFS, or other Big Data technologies.

  • Experience with Git, Maven/Gradle, and CI/CD pipelines.

Good to Have:

  • Experience with AWS, Azure, or GCP.

  • Knowledge of Databricks.

  • Experience with PySpark or Scala.

  • Knowledge of Kubernetes and Docker.

  • Understanding of data warehousing and data engineering concepts.

 

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Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.