Java FSD with Data Engineer

Here Technologies
Reston, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Reston, United States of America

Tech stack

Java
API
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Cloud Computing
Code Review
Databases
Data as a Services
Data Distribution Service
Data Governance
Data Integration
Data Warehousing
Relational Databases
Database Development
DevOps
Distributed Systems
PostgreSQL
Metadata
Performance Tuning
Reference Data
Release Management
Service-Oriented Architecture
PL-SQL
SQL Databases
Enterprise Data Management
Data Logging
Enterprise Software Applications
Data Ingestion
Delivery Pipeline
AWS Lambda
Gitlab
Gitlab-ci
Infrastructure Automation Frameworks
Deployment Automation
Data Management
Api Design
Terraform
Redshift
Microservices

Job description

  • Design, build, enhance, and support Master Data Management applications and related data services. (Prefered)

  • Develop and maintain enterprise-grade applications using Java and related frameworks.

  • Build and support cloud-native microservices on AWS, leveraging services such as:

  • Amazon ECS

  • Amazon EC2

  • AWS Lambda

Design and implement scalable data solutions using Amazon Redshift and Amazon Aurora PostgreSQL.

Develop, optimize, and troubleshoot complex database logic using SQL and PL/SQL.

Build and maintain automated deployment pipelines using GitLab CI/CD.

Develop and manage cloud infrastructure using Terraform and infrastructure-as-code practices.

Support data ingestion, transformation, integration, and distribution patterns across enterprise platforms.

Collaborate with business, data management, architecture, and technology teams to understand requirements and deliver reliable solutions.

Support production incidents, root-cause analysis, performance tuning, and ongoing operational improvements.

Ensure solutions follow enterprise standards for security, scalability, availability, logging, monitoring, and compliance.

Participate in code reviews, technical design discussions, and release planning activities.

Requirements

  • Experience building and supporting a Master Data Management application.
  • Strong hands-on experience with Java enterprise application development.
  • Experience designing and building cloud-native microservices in AWS.
  • Hands-on experience with AWS services, including ECS, EC2, and Lambda functions.
  • Experience working with Amazon Redshift for data warehousing and analytics workloads.
  • Experience working with Amazon Aurora PostgreSQL or PostgreSQL-based relational databases.
  • Strong database development skills using SQL and PL/SQL.
  • Experience building and managing CI/CD pipelines using GitLab.
  • Experience provisioning and managing infrastructure using Terraform.
  • Strong understanding of data integration, data quality, metadata, and enterprise data management concepts.
  • Ability to troubleshoot application, data, and infrastructure issues across distributed systems., * Experience supporting enterprise-scale data platforms or regulated business environments.
  • Familiarity with data governance, reference data, golden record management, survivorship rules, and data stewardship workflows.
  • Experience with API-based data distribution and service-oriented architecture.
  • Knowledge of AWS monitoring, logging, and security patterns.
  • Experience working in Agile delivery teams with product owners, architects, engineers, and operations teams.
  • Ability to translate business requirements into technical design and implementation plans.

Technical Skills

  • Languages: Java, SQL, PL/SQL
  • Cloud: AWS, ECS, EC2, Lambda
  • Databases / Data Platforms: Amazon Redshift, Amazon Aurora PostgreSQL, PostgreSQL
  • DevOps / IaC: GitLab CI/CD, Terraform
  • Architecture: Microservices, APIs, data integration, enterprise application design
  • Data Domain: Master Data Management, enterprise data management, data quality, data governance

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