Core Java Developer - Intermediate Level - W2 Only

Ampcus Inc; Chicago (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

Ampcus Inc. is seeking an ETL/Data Engineer to develop and maintain applications using Apache Spark and Java in a Chicago-area environment.

The role involves working with Spark components such as Datasets and Spark SQL, collaborating with business analysts and senior engineers to translate requirements into scalable software solutions. Ideal candidates have 3+ years in data engineering, strong Java and SQL skills, and familiarity with SDLC and Agile workflows.

Qualifications

• 3+ years of experience in data engineering with Java and Spark.
• Experience with Spark ecosystem: Datasets, Spark SQL, scalability.
• Strong Java coding skills and SQL proficiency in a corporate environment.
• Familiarity with the Software Development Life Cycle and Agile methodologies.

Responsibilities

• Develop and maintain applications using Apache Spark and Java.
• Work with Spark ecosystem including Datasets, Spark SQL and scalability support.
• Collaborate with business analysts and lead engineers to understand requirements and designs for implementing software solutions.
• Improve performance of Spark applications processing millions of data elements daily.
• Provide production support and troubleshooting for Spark applications.
• Contribute to software engineering communities of practice and events exploring new technologies.
• Support team culture of diversity, equity, inclusion and respect.

Skills

Java

Spring Boot

AWS Glue

Kubernetes

CI/CD

Python

Kafka

Lambdas

API

Tools

Apache Spark

SQL

Job description

Roles and Responsibilities

Develop and maintain applications using Apache Spark and Java

Job Description

Roles and Responsibilities

• Develop and maintain applications using Apache Spark and Java
• Work with different aspects of spark echo system including Datasets, Spark SQL and Scalability support
• Work with business analysts and lead engineers to understand requirements and designs for implementing software solutions
• Work on performance improvement activities to support spark applications to process millions of data elements everyday
• Production support and troubleshooting activities to uncover the issues in the spark applications
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Work experience on Data Engineering domain
• Hands-on practical experience in system design (simple), application development, testing, and operational stability
• Proficient in coding in one or more languages including Java
• Experience in developing, debugging, and maintaining code in a corporate environment with Java, Spark Framework and Database querying languages (any SQL usage experience)
• Overall knowledge of the Software Development Life Cycle
• Experience working in an Agile Software Development Environment

Preferred Qualifications, Capabilities, And Skills

• Exposure to cloud technologies such as AWS, Kubernetes and Kafka.

Must Have Skills

• Java, Spring Boot, AWS Glue

NICE To Have Skills

• Kubernetes
• CI/CD pipeline
• Python
• Kafka
• Lambdas, API

Looking for curious, AWS certified, Java, ETL Engineer.