Location: Branchville, NJ – Onsite
* Job Description*
Roles & Responsibilities:
• Lead hands on development and support of new and existing data integration applications using Informatica (PowerCenter, IICS, or equivalent), owning code quality, deployments, and operational stability.
• Informatica coding and implementation: design and build mappings, mapplets, reusable transformations, workflows, sessions, parameter files, and deployment artifacts; implement error handling, logging, and restartability.
• Author and tune complex SQL queries, analyze execution plans, optimize joins /index usage, and implement set based transformations for performance and scalability.
• Work with BAs to profile source data, define transformation logic, and validate outputs against business rules.
• Maintain detailed technical documentation for mappings, data models, interfaces, and downstream integrations.
• Assist product owners and project managers in prioritizing enhancements, new development, and maintenance; estimate effort and contribute to release planning.
• Assess ELT/modern data platforms (Databricks preferred), automation, and orchestration tools for fit and adoption.
• Surface technical risks, propose mitigation strategies, & communicate status to technical & business stakeholders.
• 7+ years of experience leading developing Data Warehouse, data integration, or data engineering projects.
• Proven leadership: history of owning deliverables and guiding teams to complete complex, time boxed projects.
• Strong Informatica expertise: extensive experience building and maintaining mappings, workflows, parameterization, reusable components, and deployment packages.
• Advanced SQL skills: ability to write, profile, and optimize complex SQL; experience with query tuning, indexing strategies, and analyzing execution plans.
• Dimensional and normalized modeling, star/snowflake schemas, and metadata management.
• Experience with ELT and modern stacks: Databricks or INFROMATICA platforms preferred.
• Solid troubleshooting skills for production support, performance issues, and data quality problems.
• Able to explain technical tradeoffs to business stakeholders and produce clear documentation.
• Customer focused with the ability to balance urgent fixes and long term architecture.