Jobs at NextHire Consulting

Analyze diverse data sources, build models and dashboards, perform descriptive/diagnostic analytics and data profiling, apply ML and AI tools to improve data quality, and deliver BI reports and governance guidance using SAP and Microsoft BI technologies.

Analyze and interpret complex data to drive business decisions. Design and deliver reports and dashboards using SAP Fiori and SAP Analytics Cloud. Improve data quality via profiling, catalogs, ML techniques, and cleansing rules. Collaborate with stakeholders, document processes, mentor junior staff, and integrate analytics into governance and technology initiatives.

Senior Data Engineer responsible for designing and tuning complex SQL, building ETL/ELT pipelines, querying data lakes with Spark SQL/Trino/Presto, implementing materialized views, partitioning and vacuuming, and developing ACID-compliant Delta Lake tables in Parquet. Requires deep transactional, normalization/denormalization, and query optimization expertise and 10+ years experience with effective English communication.

Lead end-to-end migration of RPA bots from Citrix VDIs to AWS EC2, coordinating infrastructure and automation teams, ensuring security/compliance, validating performance (<200ms), and delivering high availability and disaster recovery while managing risks, documentation, and stakeholder communications.

Lead and deliver multiple software projects, planning schedules, allocating resources, managing stakeholders, tracking risks/issues, ensuring quality/compliance, handling scope changes and escalations, and supporting proposals with estimates.

Participate in software development and testing while supporting communication and coordination with Japan-based stakeholders. Translate or interpret technical conversations, document requirements and meeting summaries, and collaborate with engineering and project management to deliver software components.

Collaborate with QA to design, develop, and execute automated test scripts using Robot Framework; perform manual testing; log and track defects; maintain test environments and data; participate in test case design and reviews; prepare test reports; and contribute to continuous improvement of testing processes.

Design, build, and own low-latency (sub-50ms) real-time Fraud Risk Management systems. Implement streaming/event-driven pipelines (Kafka), optimize PostgreSQL/Redis/Pinot, develop efficient algorithms in Python and Go, ensure correctness, idempotency, and reliability, collaborate with Risk/Compliance/Product, and operate systems on AWS with strong testing and performance tuning practices.

Assist in deploying and managing containerized applications, monitor Docker and Kubernetes workloads, troubleshoot Linux, networking, and application issues, support CI/CD and infrastructure automation, work with REST APIs and databases, and maintain operational documentation while collaborating with development and infrastructure teams.

Lead development and deployment of ML/AI solutions: build models (classification, prediction, anomaly detection, NLP), prototype ML products, prepare and pipeline data, collaborate with product and engineering, deliver insights, and mentor team members.

Plan, design, and execute functional, integration, regression, and UAT testing for CAD applications, plugins, and automation workflows. Validate geometry, parametric modeling, assemblies, installations, upgrades, and integrations (PLM/ERP/APIs). Develop/maintain automated test scripts, log defects in JIRA/Azure DevOps, report QA metrics, and collaborate with developers and domain experts to improve CAD application quality.

Qualify and intake patient leads via chat/WhatsApp/email/phone, assess case viability using AI and clinical data, match patients to partner hospitals and surgeons, coordinate treatment consultations across timezones, prepare patients for doctor conversations, track conversion metrics, and hand off organized cases to Account Success. Provide high-touch concierge communication and build trust with international patients.

Execute manual and functional testing for web applications, create and run test cases and regression suites, log and track defects, validate UI and backend using SQL, assist with test planning and documentation, support UAT and sprint ceremonies, and optionally contribute to basic automation using Selenium or API tools like Postman.

Build and maintain server-side logic for payment products, design scalable low-latency services, integrate databases and external systems, ensure security and data protection, collaborate with front-end developers, write unit tests, and troubleshoot production issues.

Lead server-side development for scalable, low-latency payment systems. Design and implement backend logic, database schemas, integrations, security, testing, and collaborate with front-end teams to ensure high performance and reliability.

Design, build, and deploy GenAI/LLM-powered solutions (chatbots, summarization, document processing, knowledge assistants). Implement prompt engineering, data preprocessing, embeddings, RAG pipelines, and vector DB integrations. Integrate models via REST APIs, collaborate with product and engineering teams, monitor model performance, and ensure responsible AI practices and production-ready deployment.

Build and maintain responsive React.js web applications, integrate with backend APIs and databases, optimize performance, ensure cross-browser and mobile compatibility, collaborate with designers, follow frontend architecture best practices, deploy and manage apps on AWS, participate in code reviews and mentor junior developers.

Design, build, and deploy ML and GenAI solutions including LLMs and RAG pipelines. Perform NLP, predictive modeling, POCs, and integrate models into fintech products using Python, SQL, and AWS.

Design, build, and optimize real-time stream processing pipelines using Flink and Kafka; ingest, transform, and enrich streaming data with Spark; integrate solutions with AWS services; monitor, troubleshoot, document, and enforce data governance and security.

Design and build high-throughput, low-latency transaction processing platform services using Python and Go. Implement scalable frameworks, streaming/event processing with Kafka, backing stores (MySQL, Redis, Elasticsearch), and ensure performance, resilience, and production readiness on AWS.