Java FSD with Data Engineer

Hexaware Technologies

Reston, VA, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Amazon Elastic Compute Cloud Cloud Computing Code Review Databases Data as a Services Data Distribution Service Data Governance Data Integration Data Warehousing

+27 more

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 Amazon 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