Java Developer with Kotlin

LTD Global

Rockville, MD, United States

about 1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$120,000.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Java (Programming Language) Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Big Data Cloud Computing Continuous Delivery Extract Transform Load (ETL) Relational Databases DevOps Apache Hive Identity and Access Management

+18 more

Network Security Cloud Services Scala (Programming Language) Software Deployment Software Engineering SQL Databases Data Processing Apache Spark Amazon Virtual Private Cloud (VPC) Git Cloudformation Kotlin Git Flow Kubernetes Functional Programming Terraform Software Version Control Amazon Elastic Mapreduce (EMR)

Job description

Design, code, and maintain applications and data processing solutions using Java, Kotlin, Scala.
Design and implement data loading and transformation for large datasets. Process data in various formats and compression codecs.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Write clean, efficient, and well-documented code. Implement test-driven deployment practices and develop and execute unit, integration, and end-to-end tests.
Identify and resolve issues during development and production.
Contribute to the overall DevOps for builds, application deployment stages, and releases.
Provide on-call support (rotating with Team).

Requirements

Do you have experience in Version control systems?, * Minimum 5 years of experience in software development with a focus on Java, Kotlin, Scala.

Strong proficiency in Java, Kotlin and experience with functional programming concepts.
Good understanding of Scala and its ecosystem, including frameworks and libraries.
Proficiency in SQL and experience with relational databases.
Experience with AWS cloud services.
Experience with version control systems like Git.
Strong problem-solving and analytical skills.
Excellent communication and collaboration skills.

Good to have experience/knowledge:

Big Data: Experience/Knowledge securing and scaling Amazon EMR (Spark) and OpenSearch.
Knowledge in Apache Spark and its core concepts, including RDDs, DataFrames, and Spark SQL.
DevOps Tools: Knowledge of Harness for Continuous Delivery and Git-based workflows.
Security: Strong understanding of encryption, secret management, and network security.
IaC: Proficiency in Terraform or CloudFormation to manage infrastructure as code.
Cloud: Proven knowledge managing Kubernetes, Dockers, AWS services (EC2, S3, IAM, VPC, EKS).