• Responsible for designing, developing, implementing, and supporting scalable cloud-based data platforms, pipelines, integrations, and lakehouse solutions that enable enterprise reporting, analytics, operational insights, and AI-driven initiatives. • Extracts, transforms, and optimizes data from complex and diverse data sources while ensuring reliability, performance, governance, and operational efficiency across the enterprise data ecosystem. • Designs and develops data pipelines to ingest, transform, and load data from various sources into the data ecosystem. • Designs, develops, and maintains scalable, secure, and reliable enterprise data platforms, pipelines, integrations, and cloud-native data solutions. • Implements and supports modern data platform architectures including medallion, lakehouse, dimensional, and semantic modeling patterns. • Develops and maintains notebooks, data engineering frameworks, orchestration solutions, and reusable components using SQL, Python, PySpark, and cloud-native technologies. • Supports Microsoft Fabric environments including Lakehouse, Warehouse, Data Pipelines, Notebooks, OneLake, semantic models, and Power BI integration. • Supports enterprise Power BI solutions including gateways, refresh optimization, data connectivity, semantic models, and performance tuning. • Designs and implements integration patterns including APIs, event-driven integrations, cloud-native integrations, and file-based data movement processes. • Creates and maintains monitoring, logging, alerting, observability, and operational reporting frameworks to ensure platform reliability and SLA adherence. • Supports cloud infrastructure and modernization initiatives across Azure, AWS, Microsoft Fabric, and related cloud services. • Monitors platform health, compute utilization, refresh performance, storage efficiency, reliability, and operational metrics across data environments. • Collaborates with Analytics Engineers, Data Owners, Infrastructure teams, Security teams, and business stakeholders to understand requirements and improve platform efficiencies through automation and optimization. • Troubleshoots and resolves pipeline, infrastructure, integration, data quality, and performance issues across enterprise data platforms. • Contributes to platform standards, governance practices, documentation, and operational procedures. • Researches emerging technologies, tools, and industry trends to recommend improvements to the enterprise data platform ecosystem. • Provides mentorship and technical guidance to junior engineers and team members. • Maintains a customer-first mentality while collaborating with stakeholders, leadership, and engineering teams.

Role Description We are seeking a highly skilled Senior Power Platform Developer with a strong background in Power Pages and JavaScript to join our dynamic team. - Build and customize Power Pages portals with advanced JavaScript, Liquid templates, and CSS for enhanced user experiences. - Integrate Power Platform solutions with Dataverse, SharePoint, Azure services, and third-party APIs. - Collaborate with business analysts and stakeholders to gather requirements and translate them into technical specifications. - Ensure solutions are secure, scalable, and aligned with best practices and governance standards. Qualifications - 4–6 years of hands-on experience with Microsoft Power Platform, especially Power Pages. - Strong proficiency in JavaScript, HTML, CSS, and Liquid templating. - Experience with Dataverse, Power Automate flows, and custom connectors. - Familiarity with Azure AD, role-based access control, and portal authentication mechanisms. - Solid understanding of ALM (Application Lifecycle Management) in Power Platform. Benefits - We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain a healthy work-life balance. - At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. - Equip yourself with valuable certifications in the latest technologies such as Generative AI.

• Design, build, and deploy Microsoft Copilot Studio agents—including topics, knowledge sources, generative orchestration, authentication, and content moderation—that automate enterprise workflows across the bank • Develop and maintain custom Power Platform connectors and MCP (Model Context Protocol) servers that securely expose internal banking systems and APIs to Copilot Studio agents and Power Platform makers • Architect and govern Dataverse solutions—tables, relationships, security roles, business rules, plug-ins, and elastic tables—serving as the system of record for Copilot Studio agents and Power Apps • Build agent tools, plug-ins, and reusable components in C# and .NET 10 to extend Copilot Studio with custom business logic, API integrations, and AI orchestration patterns (tool calling, RAG, declarative agents) • Operate Power Platform Application Lifecycle Management (ALM) at scale—managed environments, solution packaging, the ALM Accelerator, Power Platform CLI (pac), and pipelines integrated with GitHub Actions • Implement responsible AI governance—DLP policies, environment strategy, agent telemetry, evaluation harnesses, content safety, and grounding—ensuring compliance with bank security and regulatory standards • Partner with software, data, and AI engineers to integrate Azure OpenAI, Azure AI Foundry, and Azure AI Search into Power Platform and Copilot Studio solutions, including knowledge ingestion and retrieval pipelines • Mentor pro-code and citizen developers on Copilot Studio patterns, Power Platform ALM, secure coding, and AI engineering best practices; champion compliance with change management and SDLC standards.

• Design, build, and deploy scalable Generative AI platforms and applications. • Develop AI solutions leveraging AI Agents, RAG pipelines, and/or Knowledge Graph architectures. • Write clean, scalable, production-quality code using Python or Java. • Own end-to-end platform development and deployment within a DevOps environment. • Implement and maintain CI/CD pipelines using GitHub Actions and/or Jenkins. • Develop and manage Infrastructure as Code (IaC) using Terraform. • Deploy and manage solutions on AWS serverless services and/or Kubernetes-based infrastructure. • Collaborate with cross-functional teams to improve platform scalability, reliability, performance, and security. • Monitor, troubleshoot, and optimize AI platform operations in production environments. • Stay current with emerging AI technologies and recommend platform improvements and best practices.