Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Location: RemoteNotice Period: Immediate/1 Month/2 Months/3 monthsExperience:5+ years Handson experience in T24 JAVA extensibility should be from JAVA background.Should have logical thinking and be good in advanced java versions.Having exposure in T24 customization and local developmentHaving experience in End-to-End implementation.High level of Integrity and be trustworthy.Should be an independent worker..Excellent communication, planning and organization skills.Ability to understand the banking terminology and the functional flow of any T24 module. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.Candidate Privacy PolicyOrion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, Orion, we or us ) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) ( Notice ) explains:What information we collect during our application and recruitment process and why we collect it;How we handle that information; andHow to access and update that information.Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy .

SENIOR DATA ARCHITECT & MODELER (Hands on) Responsibilities: An expert to deliver a world class data architecture to an enterprise that establishes robust data governance and enforces best practices, policies, and procedures across the entire data landscape on cloud or premises. 15+ years of experience in designing data assets for extremely performant Operational Data Stores and near real time Data Warehouses. Well versed with industry standard Kimball and Inmon practices Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise. At least 15 years hands on experience with Data Modeling tool such as Power Designer/Erwin. Data Modeling experience in financial industry is highly preferred. Experience in event streaming and event-based data warehousing methodologies. 10+ years of data analysis and profiling experience in financial services development, including account, card, payment, or digital processing. Expert in Excel and Splunk with experience in writing complex macros to expedite data analysis. Expert SQL development, analysis, design, and performance skills in database technologies such as MongoDB and Oracle EXADATA to build highly performant physical data models. Expert hands-on development, and performance tuning experience in Snowflake including writing pipelines, coding stored procedures, and establishing data share. Experience in tools such as Matillion, SnapLogic, or DBT is nice to have to be able to build data pipelines for on cloud / on premises databases such as Snowflake. Well versed in designing dashboards in Power BI. Scripting experience in Python to create alerts and monitoring, build interfaces to move data between systems and automate data governance. Experience in building and maintaining an evergreen Data Catalogue for an enterprise with robust metadata and end to end lineage. Experience with Alation is a plus. Experience in modern data design methodologies such as DDD (Domain Driven Design), Microservices Based Architecture, Bounded Contexts, and Data Mesh building data warehouses for agility, scalability, and autonomy. Solid communication skills and be able to facilitate / lead Data Modeling sessions with partners including Business, IT (engineers and developers), BI (Business Intelligence), System of Record (SOR) SMEs etc. to assess business requirements and deliver design prototypes and models. Experience with industry reference frameworks such as BIAN (Banking Industry Architecture Network), IBM Banking & Financial Markets Model, ISO20022 is a plus. Experience in reverse/forward engineering analysis for complex data flows and be able to develop source-to-target and process mappings. Drive reuse of data and data models at all levels and establish standards to enforce and preserve single version of truth across the data landscape. Qualifications: Excellent interpersonal, written, and verbal communication skills - able to break down complex information and articulate in a manner that is easy to understand. Comfortable working in a fast paced, highly complex, matrixed environment and capable of handling multiple tasks concurrently. Be able to understand current data landscape, interpret results of analysis, identify trends and issues, and develop data standards to support business objectives. Ability to exercise independent judgment and creative problem-solving techniques for data solutions in a large and complex environment. Strong organizational skills with demonstrated ability to work with partners to meet business SLAs and plan and deliver work to expectations. Functional knowledge of the Financial Services industry with experience promoting a robust risk & control environment is preferred. Be able to coach, train, and mentor junior staff. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, Orion, we or us ) are committed to protecting your privacy. This (orioninc.com) ( Notice ) explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information.

Oversee the development, implementation, and optimization of machine learning models and algorithms for various GenAI projects Direct the data preparation process, including data cleaning, preprocessing, and feature engineering, to ensure data quality and readiness for analysis Collaborate with data engineers and software developers to streamline data processing and integration into machine learning pipelines Evaluate model performance rigorously using advanced metrics and testing methodologies to ensure robustness and effectiveness Spearhead the deployment of production-ready machine learning applications, ensuring scalability and reliability Spearhead the deployment of production-ready machine learning applications, ensuring scalability and reliability Utilize Kubernetes for efficient container orchestration and deployment of machine learning applications Design and implement innovative data-driven solutions such as chatbots using the latest GenAI technologies Communicate complex data insights and recommendations to senior stakeholders through compelling visualizations, reports, and presentations Lead the adoption of cutting-edge GenAI technologies and methodologies to continuously improve data science practices. Champion knowledge sharing and skill development within the team to foster an environment of continuous learning and innovation. Requirements: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, or a related field. 6-12 years of relevant experience in data science, with significant expertise in GenAI projects. Advanced programming skills in Python, R, or Scala, and proficiency in machine learning libraries like TensorFlow, PyTorch, or scikit-learn. Extensive experience in data preprocessing, feature engineering, and statistical analysis. Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud, and data visualization techniques. Demonstrated leadership in managing data science teams and projects. Exceptional problem-solving, analytical, and project management skills. Excellent communication and interpersonal skills, with the ability to lead and collaborate effectively in a dynamic environment Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, Orion, we or us ) are committed to protecting your privacy. This (orioninc.com) ( Notice ) explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information.

Azure Landing Zone and Best practices recommendation Azure Architecture best practices Infrastructure provision and Automation best practices ( Terraform, Bicep etc ) Azure Services Continuous Improvement & modernization Infrastructure Automation - Terraform, ansible & container Orchestration Create and Maintain ADO & GitHub pipelines Azure and AWS support and Maintenance activities Application troubleshooting and root cause analysis Azure monitor, log analytics, App insights Security design recommendation and implementation Azure Administration best practices Secondary Skills Applications Assessment and rationalization Risk and application dispositions Migration wave planning, de-risking, and Migration & modernization strategy Define blueprints, architecture guidelines Arch design patterns - micro-services, API led design, integration, pub-sub, and messaging Application Well architected framework Governance & Compliance Security Strategy Security Design recommendation and implementation

4+ years ofstrong hands-on experience Microsoft ADO build and deployments ( CI & CD ) Well experienced in YAML and Classic pipelines. Working knowledge of the deployments to Microsoft Azure, AKS, Azure Data Factory, Azure Storage Containers, On premise machines. Experience with DevOps tools chain for planning, Continuous integration, Testing, Infused security, Continuous delivery and deployment and monitoring. Implement best practices and tools related to Devops. Establish and implement monitoring and management infrastructure for availability, performance, and billing management. Basic knowledge of Microsoft SQL Server, Azure SQL and SQL Queries Good knowledge of Microsoft Azure Configure, maintain, and optimize Microsoft Azure Cloud infrastructure. Clear communication skills. Rotational shifts- Ready to work on night shifts ( IST 11:00 PM to 07:00 AM with allowances ) and weekends. Qualifications-UG: Any Graduate - Any Specialization, PG: Any Postgraduate - Any Specializatio