Senior Java Engineer - Data & Big Data Platforms

Apex Systems; Jersey City (NJ); On-site; USD 86,788 - 93,676; Full time

Job summary

Apex Systems in Jersey City, NJ seeks an experienced Java Developer to lead end-to-end Java application development in a hybrid/onsite setting. You will design, implement, and optimize solutions using Core Java, Spring, JPA/Hibernate, and JDBC while handling data across SQL/NoSQL databases and big data tools.

You will collaborate with multiple technology teams, mentor others, and contribute to performance tuning and data pipeline optimization in a distributed Hadoop/Spark ecosystem.

Qualifications

• 9+ years of end-to-end Java application development.
• Bachelor's or Master's in Computer Science, Engineering, or a quantitative field.
• Strong Core Java, Spring, JPA/Hibernate, and JDBC.
• Experience with SQL and NoSQL databases; Hadoop/Spark ecosystem.
• Knowledge of data structures, algorithms, and performance tuning.

Responsibilities

• Perform end-to-end Java application development.
• Develop solutions using multi-threading, JDBC, and collections.
• Utilize Spring, Spring Boot, JPA, and Hibernate.
• Work with SQL and NoSQL databases and data integration tools.
• Lead and mentor data engineering teammates.

Skills

Core Java

Multi-threading

JDBC

Spring Framework

Spring Boot

JPA/Hibernate

SQL

NoSQL

Big data

Spark

Kafka

Hadoop

Hive

Flink

Performance tuning

Agile

UI HTML5

AngularJS/Bootstrap

Education

Bachelor's or Master's in CS/Engineering or quantitative field

Tools

Hadoop

Spark

Kafka

Hive

Flink

Job description

Apex Systems in Jersey City, NJ seeks an experienced Java Developer to lead end-to-end Java application development in a hybrid/onsite setting. You will design, implement, and optimize solutions using Core Java, Spring, JPA/Hibernate, and JDBC while handling data across SQL/NoSQL databases and big data tools.

You will collaborate with multiple technology teams, mentor others, and contribute to performance tuning and data pipeline optimization in a distributed Hadoop/Spark ecosystem.