Java FSD with Data Engineer

Key Responsibilities

• 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.

Required Experience

• 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.

Preferred Qualifications

• 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