Jobs at Hexaware Technologies

Performs business and functional analysis for travel and airline applications, translating customer needs into user stories, business requirements, process flows, and gap documents. Collaborates with customers, product owners, development, testing, and Scrum teams; facilitates workshops, application walkthroughs, demos, and requirements reviews. Analyzes data and reports, clarifies scope, decomposes requirements, supports business mapping, tracks action items, and delivers knowledge-transfer sessions.

Lead pre-sales infrastructure solutions across digital workplace, hybrid cloud, service management, and DevOps. Develop responses to RFIs and RFPs, proactive proposals, pricing, transition plans, and Statements of Work. Own end-to-end solution design, build presentations, and produce technical documentation while partnering with stakeholders and demonstrating strong techno-commercial expertise.

The job description provides limited role-specific details. The position is a senior finance and accounting specialist role within Hexaware’s business process services organization.

Build and maintain data pipelines using dbt, Python, and Airflow; develop reliable data models and analytics datasets; create Power BI dashboards, semantic models, and DAX measures; investigate and validate data; troubleshoot issues across the data lifecycle; translate business needs into reporting solutions; and collaborate with business, analytics, and engineering teams on production-ready solutions.

Design and implement enterprise-scale data platforms, strategies, and modern cloud data architectures. Define architecture standards, build scalable and secure data platforms, and architect end-to-end solutions spanning data ingestion, transformation, storage, governance, analytics, and consumption. The role requires strong hands-on expertise with dbt and Snowflake, along with broad knowledge of the modern data ecosystem.

Evaluate generative AI systems, RAG pipelines, and agents using Python-based frameworks and evaluation platforms. Responsibilities include model and agent quality assessment, Responsible AI validation, RAI metrics reporting, golden and synthetic dataset creation, and establishing AI observability and tracing with OpenTelemetry.

Lead manual and automated QA across UI, APIs, and backend systems. Create test scenarios, execute functional and integration testing, develop Playwright automation using Python/PyTest or TypeScript, validate databases with SQL, manage defects, support CI/CD, participate in Agile ceremonies, and contribute to release sign-off. Use AI tools to improve test generation, scripting, analysis, and documentation.

Develops and executes functional, integration, regression, exploratory, UI, API, database, and end-to-end tests. Builds automated test suites with Playwright and TypeScript, validates backend data using SQL, performs API testing, manages defects in JIRA or Azure DevOps, and supports Agile test planning, risk assessment, and release sign-off. Uses AI productivity tools to improve testing efficiency.

Lead the design and development of scalable Microsoft Fabric data solutions, including end-to-end pipelines, Spark notebooks, ETL/ELT processes, Salesforce ingestion, data modeling, semantic models, and BI reporting. Establish config-driven frameworks, ensure CI/CD and documentation standards, and own deliverables with minimal supervision.

Designs and maintains AI-assisted test automation for web, mobile, and desktop applications. Responsibilities include analyzing requirements, generating and validating AI-created test cases and assets, developing reusable automation components, integrating tests into CI/CD pipelines, and collaborating with QA and development teams. Requires extensive automation experience with Playwright and Selenium, familiarity with AI coding assistants and agentic testing methodologies, and strong knowledge of version control and testing best practices.

Design and build scalable batch and real-time data pipelines using Databricks, PySpark, Structured Streaming, Delta Lake, and Medallion Architecture. Develop reusable ingestion and data quality frameworks, implement ABAC and RBAC security, and build agentic AI workflows using MCP and serverless computing. Create RAG pipelines with vector database integration, while managing governance, lineage, access controls, CI/CD, and LLM evaluation frameworks through Unity Catalog.

Develop and enhance Oracle FCCS applications, business rules, and calculation scripts. Manage data integration and automation activities, perform testing and deployments, provide production support, analyze requirements, and create technical documentation. The role requires strong Oracle FCCS and EPM Cloud experience across configuration, consolidations, data management, reporting, and application development.

Designs, configures, and supports Medallia Experience Cloud solutions for customer and employee experience programs. Develops surveys, workflows, dashboards, reporting, integrations, and text analytics. Manages data ingestion, transformation, validation, and reporting processes using APIs, Salesforce, SQL, and data warehouses. Collaborates with stakeholders to deliver scalable solutions, troubleshoot implementations, optimize performance, and support testing, deployments, and post-implementation activities.

Designs and implements data ingestion and data lake solutions using Big Data and open-source technologies. Develops cost-efficient, performant cloud data pipelines; integrates multiple data sources; supports analytics, reporting, and data science teams; optimizes infrastructure and query performance; and applies data mining techniques and ingestion APIs to populate data lakes.

Develop, optimize, and maintain scalable ETL/ELT data pipelines for structured and unstructured data using Python and PySpark. Ensure data quality through validation, cleansing, transformation, and reconciliation. Collaborate with technical and business stakeholders, troubleshoot performance issues, conduct code reviews, and implement coding standards and CI/CD pipelines. Work with big data frameworks, cloud platforms, databases, data models, schemas, and warehousing solutions.

Build scalable data pipelines for large datasets using Microsoft Fabric, Azure data services, advanced SQL, and Python/Spark. Develop data transformations and apply data modeling principles such as star schemas. Experience working with financial services data is desirable.

Design, develop, and support scalable low-code applications on the Appian platform. Translate client requirements into process models, SAIL interfaces, records, reports, rules, data stores, and integrations. Troubleshoot defects, perform root-cause analysis, document technical solutions, and ensure compliance with Appian best practices, quality standards, and delivery procedures.

Develop and maintain scalable React frontend applications using TypeScript, JavaScript, Redux Toolkit, and modern React patterns. Architect reusable component systems, build accessible responsive interfaces, integrate REST and GraphQL services, optimize performance, and create automated tests. Collaborate with product, UX, backend, and architecture teams. Use AI-assisted development tools for coding, refactoring, debugging, and documentation while following Agile SDLC practices. Preferred experience includes CI/CD platforms, cloud deployment, micro frontends, and integrating generative AI capabilities.

Develop, maintain, and optimize native Android applications using Kotlin. Design responsive UIs, integrate features into existing codebases, troubleshoot performance and stability issues, conduct testing and debugging, follow architecture and coding best practices, and collaborate with designers, backend developers, QA teams, and stakeholders.

Design, develop, and support scalable Appian low-code applications, including SAIL interfaces, process models, records, reports, rules, and data stores. Translate client requirements into robust solutions, build REST/SOAP and JDBC integrations, troubleshoot defects, perform root-cause analysis, and maintain technical documentation, compliance, and quality standards.