Data Engineer

• Develop and maintain Microsoft Fabric / OneLake Lakehouse solutions across Bronze, Silver, and Gold layers
• Build reusable data ingestion pipelines and CDC frameworks for sources including GCP, CSV, Excel, email files, and SharePoint
• Implement Bronze-layer ingestion with audit logging, schema validation, schema-drift detection, and error handling
• Develop Silver-layer transformations for cleansing, standardization, data quality, validation, and exception handling
• Build Gold-layer datasets including curated entities, conformed dimensions, business metrics, KPIs, aggregations, and secure views
• Develop and optimize Spark / PySpark, Python, and SQL workloads for scalable data processing
• Build data pipelines using Fabric Data Pipelines, Synapse Pipelines, and Notebooks
• Support Power BI semantic models and Direct Lake data consumption requirements
• Implement data quality checks, reconciliation processes, monitoring, and operational controls
• Follow data governance and security standards, including Purview, RBAC, PII/PHI controls, classification, and lineage
• Troubleshoot pipeline failures, performance issues, data discrepancies, and production incidents
• Collaborate with Solution Architects, Lead Data Engineers, BI teams, and business stakeholders to deliver scalable data solutions

Senior Data Engineer

• Lead the Data Migration Lead / Enterprise Data Architect role.
• Identify needs and translate business requirements into technical data solutions.
• Interpret and translate legacy mainframe data structures into modern target models.
• Design conceptual, logical, and physical data models.
• Map policy data, contracts, coverages, and benefits relationships and dependencies.
• Build data inventories and document end-to-end data lineage.
• Determine data ownership and classification, including PII, financial, and actuarial data.
• Define migration strategies, including big bang, phased, and dual-run approaches.
• Design and justify ETL/ELT pipelines.
• Specify and validate migration rules and transformation logic.
• Design rollback and fallback scenarios.
• Define and measure data quality rules and data cleansing strategies.
• Establish governance frameworks for ownership, stewardship, and decision-making.
• Document field-level source-to-target mappings and define reconciliation strategies.
• Align tolerances and acceptance criteria with the business.
• Coordinate with data management groups, technical teams, business stakeholders, SteerCo, and the calculation engine.
• Coordinate dual-run validation by comparing mainframe and new-platform results.
• Define data scope and dependencies for policy administration, claims, and customer onboarding tracks.
• Align migration sequencing with tiering.

Mainframe Data Architect

Operations

• Perform regular and ad hoc reconciliations of balance sheet accounts, including cash, accounts receivable, accounts payable, and other key accounts
• Investigate and resolve discrepancies between general ledger balances and subsidiary ledgers or external statements
• Ensure that all reconciling items are properly documented and resolved in a timely manner
• Identify discrepancies, resolve issues, and maintain accurate financial records to support financial reporting and compliance

Assistant Manager – F&A Operations

AI Engineer

• Design and deliver enterprise-grade AI solutions using LLMs and modern AI frameworks
• Build and optimize applications using LangChain, LangGraph, and multi-agent architectures
• Drive end-to-end development lifecycle from problem definition to production deployment
• Collaborate with cross-functional teams to translate business needs into AI solutions
• Develop and deploy LLM-based applications using RAG, embeddings, and prompt engineering
• Build and manage multi-agent systems and workflows using LangGraph, MCP, or similar frameworks
• Design scalable AI pipelines, APIs, and integrations for production use
• Optimize performance, cost, and reliability of AI systems in production
• Collaborate with product, engineering, and data teams to deliver business impact

Senior AI Engineer

Auditor

• Review and audit medical claims against patient medical records for accuracy and completeness
• Identify discrepancies between clinical documentation and billed services, including potential billing errors
• Validate diagnoses, procedures, and levels of care against industry standards
• Ensure compliance with CMS guidelines, payer policies, and regulatory requirements
• Conduct best-practice audits to identify documentation gaps, coding inaccuracies, and revenue leakage opportunities
• Prepare structured audit findings and reports with corrective-action recommendations
• Collaborate with coding, billing, and provider teams to resolve findings and support accurate claims
• Monitor audit trends and identify recurring issues for education or intervention
• Support quality assurance initiatives and maintain audit accuracy and productivity standards
• Participate in continuous improvement and stay current on CMS regulations, clinical guidelines, and payer policy changes
• Maintain productivity, clarification, and other required logs
• Align with the Manager/Team Lead on program delivery and respond promptly to emails
• Follow SOPs, project protocols, and process changes
• Complete audits with expected quality and production targets

Executive, Clinical Auditor

Manager

• Lead cross-team data quality development
• Drive strategic initiatives to enhance data quality practices
• Represent the data quality team in executive meetings
• Develop long-term plans for data quality

Senior Manager

Compliance

• Compliance Risk Management
• Fraud Risk Management

Supervisor – Compliance Monitoring, Oversight

Customer Support

• Manage office systems
• Coordinate schedules
• Provide administrative support
• Supervise staff
• Prepare reports
• Implement policies
• Maintain effective communication within the organization
• Ensure adherence to process guidelines as per agreed quality standard on all SOPs
• Ensure that assigned targets are achieved as per agreed SLA
• Ensure adherence to Company Policies and Procedures

Executive, Back Office, PnC, Customer Service

Executive

• Interact with clients through email to resolve queries
• Build and maintain good working relationships with customers
• Participate in process improvement initiatives
• Work flexibly and remain change-ready in a dynamic work environment

Cloud Engineer

• Lead the design and development of scalable ETL/ELT data pipelines using Azure Data Factory, Snowflake, DBT, and other Azure data services
• Design and manage data integration workflows from multiple source systems, including Guidewire applications and insurance data platforms, into Snowflake and Azure-based data environments
• Analyze and understand Guidewire data models, business entities, policy, claims, billing, underwriting, and related insurance datasets
• Develop efficient and optimized SQL queries for data extraction, transformation, validation, and reporting
• Lead technical discussions with business stakeholders, Guidewire teams, architects, and data consumers to translate business requirements into scalable technical solutions
• Provide technical leadership and guidance to data engineering team members and review code, data models, and pipeline designs
• Monitor, troubleshoot, and optimize data pipelines to ensure high performance, reliability, scalability, and availability
• Implement and enforce data quality, governance, metadata, lineage, and documentation standards
• Develop and maintain reusable data engineering frameworks and best practices
• Collaborate with data architects, analysts, DevOps, QA, and cloud engineering teams in a cloud-native environment
• Support migration and modernization of legacy insurance data platforms into Azure and Snowflake
• Implement and support CI/CD processes for data engineering workflows
• Ensure data solutions comply with enterprise security, governance, and regulatory requirements

Lead Data Engineer, Azure – Guidewire

• Manage office supplies, coordinate meetings, handle correspondence, and maintain records
• Monitor and review account quality
• Allocate accounts according to guidelines
• Ensure timely closure of accounts
• Ensure transaction quality complies with predefined parameters
• Ensure adherence to company policies and procedures
• Use fair methods to collect outstanding account balances
• Make customer calls for collection or payment details
• Work toward dispute resolution
• Focus on customer satisfaction, rapport building, effective communication, and timely resolution of customer concerns
• Achieve process targets in line with SLAs and key success factors
• Prepare reports for accounts assigned to the team
• Prepare business review templates for performance reviews

• Manage the complete HR lifecycle, including recruitment, onboarding, employee engagement, job changes, and offboarding, with MIS support to track and report lifecycle events
• Add calendar invites for HR assistants, HR Advisors, and managers with new starter details
• Monitor the HR Jira queue and work on allocated tickets according to requirements
• Draft and issue standard employee documentation, including promotion, leaver, and salary letters
• Respond to reference requests
• Administer new starter processes, including HR system updates, new joiner emails, third-party background screening, pre-boarder actions, and complete HR file maintenance
• Administer leaver processes, including resignation documentation, HR system changes, and escalation of complex cases to HR Advisors or HR Managers
• Maintain HR system data validity and accurate employee records
• Update company organisational charts with HR Advisor support
• Support ad hoc HR duties, project work, and audits
• Collaborate with clients, operations teams, and management to deliver end-to-end recruitment solutions
• Consolidate HR data and provide reports on time
• Deliver HR service tickets promptly, handle benefits, attendance, and payroll queries through ticketing systems, and meet SLAs

Assistant Manager

• Review call recordings and chat transcripts of Onshore Customer Service advisors using defined scorecards
• Assess interactions for process adherence, compliance, customer experience, and quality standards
• Provide scoring, observations, and evidence-based rationale
• Ensure audit questions are applicable and correctly mapped to reviewed interactions
• Validate answers and scores against call or chat content
• Maintain accurate and consistent audit decisions
• Participate in calibration exercises with internal and client stakeholders
• Identify quality trends, root causes, and coaching opportunities
• Produce audit reports and quality insights supporting operational improvement
• Track KPIs including Check-the-Checker Accuracy, Audit Quality & Accuracy, Calibration Alignment, and Scoring Variance/Error Rate

• Handle travel-related queries over calls, email, and chat
• Interact with clients through email to resolve queries
• Build and maintain good working relationships with customers
• Maintain high accuracy and productivity standards
• Participate in process improvement initiatives
• Remain flexible and change-ready in a dynamic work environment

EXL

Senior Data Engineer

Senior Data Engineer

Mainframe Data Architect

Assistant Manager – F&A Operations

Senior AI Engineer

Executive, Clinical Auditor

Senior Manager

Supervisor – Compliance Monitoring, Oversight

Executive, Back Office, PnC, Customer Service

Executive

Lead Data Engineer, Azure – Guidewire

Executive

Assistant Manager

Executive

Senior Executive