Direct Client:: W2 position:: Need Sr. Java Hadoop Developer with Spark, ETL & Healthcare Experience:: 100% Remote

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Java
Hadoop
Spark
Scala
Hive
data integration
Mongo/PostgreSQL
real-time data streaming
data ingestion
batch processing
Healthcare

Job Details

W2 contract to Fulltime position

No Sponsorship required

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Job Title: Java Developer
Client Location: Jacksonville, FL (2-days onsite)
Duration: Long Term

Job Description

We are seeking an experienced Sr Java and Hadoop Developer to join our team. The ideal candidate will have a strong background in Java and Hadoop ecosystem, with expertise in designing and developing scalable, efficient, and reliable big data solutions. The candidate will be responsible for leading the development of our data processing and analytics platform, working closely with cross-functional teams to ensure seamless integration and delivery of high-quality solutions. Sr. JAVA/Hadoop Developers are responsible for the development, programming, and coding of Information Technology solutions. Senior IT Developers are responsible for documenting detailed system specifications, participation in unit testing and maintenance of planned and unplanned internally developed applications, evaluation and performance testing of purchased products. Senior IT Developers are responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. Senior IT Developers lead efforts, oversee work results, provide training and serve as a technical resource for other Developers.

REQUIREMENTS:

  • 5+ years of experience in Java and Hadoop ecosystem (HDFS, Spark, Hive, etc.)
  • Strong expertise in Java and Hadoop development, including data processing, data integration, and data analytics
  • Experience with Spark (Scala/Java) and experience with Spark-based data processing frameworks
  • Proficiency in Java programming language and experience with Java-based frameworks (e.g., Spring, Hibernate)
  • Experience with Hadoop-based data storage solutions (e.g., HDFS, HBase)
  • Familiarity with data warehousing concepts and ETL tools (e.g., Informatica, Talend)
  • Proven experience in designing and developing big data solutions, preferably with Hadoop and Spark.
  • Experience with data processing, integration, and reconciliation, including data quality and validation.
  • Excellent collaboration and communication skills, with the ability to work with cross-functional teams and stakeholders.
  • Strong problem-solving and troubleshooting skills, with the ability to analyze complex issues and develop effective solutions.
  • Experience with unit testing, release procedures, coding design and documentation protocol as well as change management procedures
  • Manipulate data from various sources / formats such as: flat files, relational databases, non-relational databases, XML, JSON, etc.
  • Experience with NoSQL databases (e.g., Mongo, Cassandra)
  • Experience with relational databases (e.g., Postgres, MySQL)
  • Experience with microservices architecture and design patterns (e.g., REST, gRPC)
  • Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes)
  • Experience in designing and developing microservices-based systems, including service discovery, circuit breakers, and load balancing.
  • Experience in designing and developing databases, including schema design, data modeling, and query optimization.

Key Responsibilities:

  1. Real-Time Data Processing: Develop and maintain real-time data processing systems, ensuring low-latency and high-throughput.
  2. Batch-Processing: Design and develop batch processing systems, ensuring efficient and reliable data processing.
  3. Data Ingestion and Integration: Develop and maintain data ingestion and integration pipelines, ensuring data quality and integrity.
  4. Data Storage and Retrieval: Design and develop data storage and retrieval systems, ensuring efficient and reliable data access.

PREFERRED QUALIFICATIONS:

The preferred qualifications listed below reflect desired knowledge, skill, and/or experience.

Additional Preferred Qualifications:

  • Various Domain experience; Health Care Only
  • Experience using Agile, Waterfall, or hybrid methodology
  • Specific tools, languages and specialty skills may vary

Required Work Experience:

  • 5+ years related work experience, Professional experience with technical design and coding in the IT industry
  • Strong experience with real-time data streaming, data ingestion, and batch processing
  • Experience working with Mongo/PostgreSQL databases required

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.