DATAMAXIS, Inc

• Design, develop, and implement customer decisioning solutions using Pega Customer Decision Hub (CDH) • Build and configure Next-Best-Action (NBA) strategies, engagement policies, and decision strategies • Develop adaptive models and real-time decisioning capabilities to optimize customer interactions • Collaborate with business stakeholders to understand customer engagement requirements and translate them into scalable Pega solutions • Integrate Pega CDH with enterprise applications using REST APIs and other integration technologies • Configure customer journeys and personalized engagement across multiple channels • Perform unit testing, debugging, and troubleshooting to ensure high-quality deliverables • Document technical designs, configurations, and implementation processes • Support deployment activities and provide post-production support as required.

• Own end-to-end backend architecture for the AI platform • Architect and evolve AI pipelines • Enhance and harden the unified LLM provider layer • Design the distributed worker system for heavy pipeline execution • Lead the AWS deployment architecture • Define and enforce API design standards • Own the PostgreSQL schema for extraction metadata • Implement secure service-to-service communication • Instrument the platform with structured logging and alarms • Mentor senior engineers and conduct architecture reviews

• Create and manage workflows including DCT, checklists, role assignments, attachments, DAM assets, notifications, mappings, and attribute updates • Configure work requests, navigation settings, users, groups, roles, encoded titles, business rules, extended attributes, and system types • Perform DAM configuration including field management, classifications, and rule creation • Support production environments using tools such as ServiceNow and Remedy • Execute production deployments and migrate content from development to production • Conduct testing activities and develop technical and test case documentation • Develop and maintain default scripts and validation scripts • Implement workflow improvements and automate manual processes • Support Aprimo customizations and integrations with other systems

• Design, develop, and maintain applications using Oracle ATG/Web Commerce. • Implement and customize ATG components such as BCC, CSC, and Commerce pipelines. • Collaborate with cross-functional teams to define, design, and ship new features. • Debug and resolve technical issues and perform performance tuning. • Participate in code reviews, testing, and documentation of solutions. • Work closely with QA and business teams for deployment and validation.

• Design and build robust, reusable, parameter-driven ingestion and transformation pipeline using Azure Data Factory • Implement medallion architecture on Azure Data Lake Storage Gen2 • Build performant ELT workflows that leverage pushdown to source systems • Develop and optimize PySpark notebooks and jobs on Azure Databricks or Synapse Spark • Design dimensional models and data vault patterns for analytics consumption • Implement Slowly Changing Dimensions and Change Data Capture • Tune distributed SQL workloads in Synapse Dedicated SQL Pool • Implement CI/CD for data pipelines using Azure DevOps • Instrument pipelines with robust logging and monitoring • Lead or contribute to legacy-to-cloud migrations

• Support US state privacy law operations and enhance the client privacy program • Assist with implementing and operationalizing state and federal privacy law requirements • Support Data Subject Access Request (DSAR) processes and privacy-related issue resolution • Ensure timely completion of consumer privacy requests • Collaborate cross-functionally to integrate privacy practices into business processes and product development • Maintain privacy compliance documentation and support ongoing privacy initiatives • Support development and documentation of business requirements related to privacy law compliance • Collaborate with Legal, Product, Security, IT, and internal teams to implement privacy requirements • Assist in developing privacy training materials, job aids, and presentations • Support implementation of product-related privacy requirements across the enterprise • Identify, document, and track privacy risks and support remediation efforts • Participate in Data Protection Impact Assessment (DPIA) reviews and maintain documentation • Support privacy-by-design and data governance initiatives • Assist with DSAR operations including request tracking, workflow support, issue resolution, and reporting • Support handling of privacy complaints and consumer privacy requests • Assist with supplier privacy assessments, questionnaires, and audit activities • Maintain privacy-related documentation, questionnaires, and process materials • Identify process improvement opportunities and support workflow automation initiatives

• The ETL Tester will be responsible for designing, automating, and executing test cases for Enterprise Data Warehouse (EDW) ETL processes in a State Government Medicaid environment. • Responsible for ensuring the accuracy, integrity, and reliability of data as it moves through ETL processes. • Leverage expertise to design and execute test strategies that validate both functional and non-functional requirements of data pipelines. • Perform backend testing to compare data in source systems to target Medicaid EDW. • Verify source-to-target data mapping and transformation logic for Medicaid datasets. • Validate data quality, standardization rules, and loading accuracy. • Write complex SQL queries to validate ETL outputs against business rules. • Conduct row counts, null checks, duplicate checks, and referential integrity validation. • Design test plans, test cases, and test scenarios for ETL processes. • Document test results and provide detailed feedback to stakeholders, highlighting areas for improvement. • Execute manual and automated tests for both full-load and incremental-load cycles.

• Provide end-to-end production support for ATG-based e-commerce applications across Dev, QA, and Production environments • Perform advanced troubleshooting , incident resolution, and root cause analysis (RCA) • Analyze thread dumps, heap dumps , and performance issues (memory leaks, JDBC connections, session issues) • Support application migration and operations in cloud environments (AWS/Azure/GCP) • Monitor system performance and ensure high availability and reliability • Work with Microservices (MSE) / Micro Frontend (MFE) architectures • Collaborate with development teams for bug fixes, enhancements, and system improvements • Utilize monitoring and logging tools for proactive issue detection • Participate in on-call support and handle critical production incidents

• Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python-based frameworks • Build and optimize scalable data processing solutions using Python, Spark, and Databricks • Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care) • Develop robust data validation, reconciliation, and audit-traceable data pipelines • Write and optimize SQL and stored procedures across relational platforms such asSnowflake, Oracle, and SQL Server • Participate in cloud migration and modernization initiatives within Azure-based architectures • Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness • Follow data engineering best practices for performance, reliability, reusability, and security • Support production operations, incident resolution, and root-cause analysis • Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub

• Design, develop, and maintain enterprise level Dashboards/Reports using Tableau and Python-based frameworks. • Build and optimize scalable data processing solutions using Python. • Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care) • Write and optimize SQL and stored procedures across relational platforms such as Teradata. • Participate in cloud migration and modernization initiatives within Azure-based architectures • Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness • Follow Reporting and Dashboard best practices for performance, reliability, reusability, and security • Support production operations, incident resolution, and root-cause analysis • Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub