Enterprise consulting with ServiceNow, data platforms, and test automation expertise
Nihilent is a mid-size consulting firm (1,001–5,000 employees) headquartered in Pune with regional presence across India, USA, UK, Australia, South Africa, and Sweden. The tech stack—anchored in ServiceNow, Azure data services (Synapse, Data Lake, Data Factory), Databricks, and testing frameworks (Selenium, Appium)—reflects a practice focused on enterprise digital transformation and data engineering. Current project load emphasizes ServiceNow implementations and upgrades, test automation scaling, and DataOps/MLOps pipeline buildout, while hiring remains minimal (8 open roles, none posted in 30 days), suggesting project-driven resource allocation rather than headcount expansion.
Nihilent delivers consulting and custom engineering services to enterprises undergoing digital transformation. The company employs a human-centered approach to process redesign, change management, and technology implementation across three primary domains: enterprise platforms (ServiceNow module implementations and upgrades), analytics and ML infrastructure (data pipelines, DataOps, feature engineering on Databricks and Azure), and quality assurance automation (test frameworks, mobile automation, API automation). CMMI Level 5 and ISO 9001:2015 certifications underscore process maturity. Most hiring is concentrated in India; the seniority mix skews senior and lead roles, consistent with a consulting model where customer work is staffed by experienced practitioners.
ServiceNow, Azure cloud (Synapse, Data Lake, Data Factory, Machine Learning, Cognitive Services), Databricks, Informatica, Talend, Apache Airflow, test automation (Selenium, Appium), and BI tools (Tableau, Power BI). Stack breadth reflects enterprise platform and data engineering specialization.
ServiceNow platform implementations, upgrades, and module enhancements; test automation framework scaling and mobile/API automation strategy; DataOps and MLOps infrastructure setup; and large-scale analytics solution delivery. Current pain points include scaling automation, managing large data environments, and secure access architecture.
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