Jobs at Hexaware Technologies

Reverse-engineer Procore data model and REST APIs; map Bronze→Silver→Gold datasets with transformation rules and data-quality defects; define crosswalk keys (global Project ID) reconciling Procore, P6, and Yardi; define data-quality gates and confidence scoring; support pipeline development and automated testing; validate Gold datasets against sources and document a reusable template.

Lead implementation, enhancement, and QA of digital analytics and tag management solutions (primarily Adobe). Design data layers, implement marketing pixels, configure tracking, validate analytics, support Adobe Target integrations, and consult with stakeholders on requirements and strategy.

Lead design and governance of a lakehouse medallion architecture on OneLake/Microsoft Fabric. Evaluate Fabric vs. Databricks, define standards, design master-data backbone and lightweight MDM, data-quality/gating and lineage, codify Bronze→Gold templates for reuse, enable cataloging (Purview) and Power BI access, and define the DataOps operating model and handover to the client.

Inventory and reverse-engineer M365 and Power Platform workloads to document entities and process flows; produce Bronze->Silver->Gold source-to-target mappings with transformation rules and data-quality defects; reconcile identifiers against core systems; ensure secure extraction per sensitivity and retention policies; define data-quality gates and confidence scoring; and support pipeline development, automated testing, and validation of Gold outputs.

Design and deliver GenAI solutions: prototype to production LLM services, build RAG pipelines, fine-tune models (LoRA/QLoRA/PEFT), engineer prompts/tools/memory, ensure safety and evaluation, deploy with MLOps (CI/CD, containers, IaC), optimize inference, and ensure security/compliance while collaborating with product, data, and SRE teams.

Lead business analysis for capital markets clients: gather and translate requirements, analyze processes, manage stakeholders, drive process improvements, leverage AI and analytics tools, and support cross-functional delivery.

Reverse-engineer Yardi schema and APIs to document finance entities and processes; reconstruct procure-to-pay and record-to-report flows; model flows into Gold-layer containers; produce source-to-target mappings and data-quality rules; define crosswalk keys with Procore and Oracle P6; steward finance KPI certification; support pipeline development, automated transformation testing, and reconciliation to Yardi system-of-record balances.

Lead and manage onsite-offshore cloud teams to operate and improve AWS-based environments. Own automation, documentation, runbooks, SLA-driven operations, escalations, RCA, governance, customer reviews, and continuous improvement across cloud, processes, and tools.

Lead end-to-end program delivery across Phases 0-3 using PMO and sprint methodologies. Manage RAID log, vendor resourcing and performance, budget/T&M burn-down, governance cadence, reporting, dependencies, scope control, and transition into ongoing DataOps service with final project closure.

Lead design, development, and support of Salesforce solutions (Sales Cloud, Experience Cloud) including Apex, LWC, integrations, quote-to-cash, portals, and analytics. Provide technical leadership, mentor teams, manage Agile delivery, conduct solution design and integrations with HubSpot, NetSuite, DocuSign, Conga, SharePoint, and AWS, and drive release management and post-production support.

Lead end-to-end Workday implementations and enhancements: gather requirements, design and configure modules, manage integrations and testing, oversee timelines and teams, resolve issues, ensure data governance/security, support upgrades, and drive process improvements.

Lead development of enterprise data and analytics systems using Snowflake and Python. Build and optimize data pipelines on AWS (Lambda, Step Functions, ECS), write advanced SQL, and apply domain knowledge of asset management and financial markets.

Lead design and governance of the Salesforce ecosystem, architect integrations and data/analytics solutions, drive platform modernization (Data Cloud, AI, Agentforce), define security and DevOps practices, and guide delivery of quote-to-cash and customer lifecycle programs across enterprise systems.

Lead development and technical guidance for Power Platform solutions, integrating Canvas PowerApps, Power Automate, .NET/React UI, Azure DevOps, Azure Functions, Dataverse, PowerBI and relational databases. Liaise with business stakeholders and offshore teams, perform unit testing and code reviews, improve productivity using Copilot/Vibe, and participate in SAFe ceremonies and delivery activities.

Lead design and delivery of enterprise-grade AI and Azure cloud solutions. Evaluate AI platforms, create POCs, define production-ready architectures, integrate GenAI agents, ensure observability and reliability, mentor teams, and support full SDLC and governance.

The Mirth Connect Developer will design and maintain healthcare integration solutions, focusing on HL7, X12, and FHIR data exchanges, ensuring compliance with regulations and handling data securely.

Responsible for production support focusing on UPM, troubleshooting application issues, monitoring systems, and coordinating with teams for incident resolution.

Design, build, and operate a secure, scalable GenAI platform on AWS (including Bedrock). Own platform lifecycle, enable LLM inference, RAG, Agents and guardrails, ensure observability, incident management, security, compliance, cost optimization, and reliability for production-grade regulated-financial environments. Provide Python-based development and support for microservices and REST APIs.

Provide AMS and production support for Oracle Fusion Order Management and Oracle Integration Cloud. Monitor, troubleshoot, perform RCA, design and maintain OIC integrations and adapters, support integrations with EDI/Salesforce, implement API and FBDI solutions, manage deployments and testing across environments, and produce technical documentation and status reports.

Lead data engineer responsible for designing, building, and operating production data pipelines using Python, Airflow, Snowflake, DBT, and AWS. Automate ETL, implement CI/CD, testing and DBT validations, troubleshoot pipelines, and work client-facing to deliver reliable data solutions.