Data Engineer

• Build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI.
• Work closely with data architects, business stakeholders and analysts to develop reliable data solutions and ensure high-quality data is available across the organization.
• Collaborate with client stakeholders to gather requirements, structure solutions, and ensure high‑quality, timely delivery.
• Manage end‑to‑end pipeline operations including performance tuning, data quality monitoring, alerting, and issue resolution across production workloads.
• Lead a project team of data engineers supporting multiple workstreams and provide technical leadership through code reviews, best‑practice guidance, reusable pattern creation, and mentorship to engineering team members.
• Prepare and maintain project documentation to support project execution and delivery.

Lead Data Engineer

• Design and operate event-driven data pipelines using Kafka consumers and Flink jobs to process high-volume customer events (clicks, purchases, returns) in near-real time.
• Build and optimize large-scale data transformations on Google Cloud Platform — BigQuery SQL, query performance tuning, and partitioning strategy at scale.
• Develop Python data engineering workloads using Polars or Pandas at scale, with rigorous attention to Parquet partitioning, join performance on large datasets, and memory efficiency.
• Build, deploy, and maintain ML pipeline components on Kubeflow Pipelines (KFP) and Vertex AI; package and deploy services with Docker.
• Design event store architecture: partitioning by customer, time-ordered event assembly across heterogeneous sources, and schema management for mixed event types.
• Partner with ML engineers, platform engineers, and data scientists to deliver clean, performant, model-ready data products.
• Document architecture decisions and contribute to engineering standards across the platform team.

Senior Data Engineer

Vice President

• Collaborate with client stakeholders to gather requirements, structure solutions, and ensure high‑quality, timely delivery.
• Experience working in the Databricks tech stack with strong proficiency in SQL, Python, and PySpark
• Design and optimize data models, data marts, and Lakehouse/warehouse layers with strong focus on medallion architecture, query optimization, and performance engineering.
• Build, orchestrate, and monitor scalable data pipelines on Databricks, ensuring reliable ingestion, transformation, CDC handling, and incremental load strategies.
• Manage end‑to‑end pipeline operations including performance tuning, data quality monitoring, alerting, and issue resolution across production workloads.
• Lead a project team of data engineers supporting multiple workstreams and provide technical leadership through code reviews, best‑practice guidance, reusable pattern creation, and mentorship to engineering team members.
• Prepare and maintain project documentation to support project execution and delivery.

Assistant Vice President

Product Specialist

• Support development of credit card product features and lifecycle design
• Manage onboarding and account management frameworks
• Review and maintain Product Requirement Documents (PRDs)
• Bring SME in Credit Product launch and enablement – legal and compliance as well
• Assist the execution team around prioritization and feature/product level controls and guardrails
• Define backend data requirements, including data capture, storage, and usage
• Establish customer communication flows (notifications, servicing, alerts)
• Coordinate integration with customer support portal
• Collaborate with technology and controls teams to ensure smooth product implementation
• Support product build activities and ensure alignment with overall product strategy

Senior Credit Product Specialist

Payroll

• Process bi-weekly and semi-monthly payrolls for employees across multiple states and countries.
• Ensure accurate and timely payments, including taxes, deductions, and benefits.
• Identify and resolve pay discrepancies and escalations efficiently.
• Support audits, year-end processing (W-2s), and regulatory reporting.
• Manage payroll inquiries and provide prompt, professional responses.
• Collaborate with HR, Finance, and Benefits to maintain accurate payroll data and seamless processes.
• Work independently while contributing to a dynamic, cross-functional team.

Payroll Specialist

DevOps Engineer

• Support deployment of AI-enabled solutions into production environments (cloud/on-prem).
• Assist in implementing agentic workflows (multi-step, goal-driven AI systems) that interact with tools, APIs, and enterprise systems.
• Integrate AI applications with data sources, business workflows, and operational systems.
• Validate outputs for accuracy, reliability, and business alignment before and after deployment.
• Work within Agile/Scrum teams, contributing to sprint planning, daily stand-ups, and retrospectives.
• Translate user stories into technical tasks and support iterative development cycles.
• Collaborate closely with product managers, designers, and engineers to deliver increments of value.
• Participate in rapid prototyping and fail-fast experimentation cycles for AI use cases.
• Test AI workflows (including agent behavior) under real-world scenarios.
• Identify edge cases, failure modes, and integration issues; support fixes and improvements.
• Assist in setting up basic monitoring (logs, alerts, performance metrics).
• Create and maintain deployment runbooks, integration documentation, and troubleshooting guides.
• Ensure solutions adhere to data security, compliance, and audit requirements.

Forward Deployment Engineer – AI, Agentic AI, Agile Delivery

Auditor

• Apply in‑depth knowledge of CPT/HCPCS coding, APC payment methodologies, and outpatient regulatory guidelines to audit UB‑04 facility claims only, ensuring accurate APC assignment, proper packaging, and compliant facility billing.
• Perform detailed hospital outpatient facility audits with a strong focus on APC assignment, payment status indicators, revenue code alignment, and OPPS reimbursement logic.
• Review outpatient claims to validate correct CPT/HCPCS-to-APC mapping, including appropriate assignment of:
• – Significant procedure APCs vs. packaged services
• – Comprehensive APCs (C-APCs)
• – Composite APCs where applicable
• Audit UB‑04 facility claims to ensure accurate reporting of CPT/HCPCS codes, modifiers, revenue codes, and charge structures that directly impact APC payment.
• Conduct audits across infusion therapy, outpatient surgeries, imaging, and interventional radiology, such as:
• – Verifying correct APC assignment for chemotherapy and non-chemotherapy infusions, hydration services, and observation-related services
• – Reviewing outpatient surgical encounters to ensure correct APC selection based on procedure complexity and status indicators
• – Auditing interventional radiology encounters to confirm appropriate APC grouping and compliance with bundling rules.

EXL