Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
Our Culture:
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
Job Summary:
We are seeking an experienced Quantexa Engineer to design, develop, and implement scalable entity resolution, network analytics, and decision intelligence solutions. The role requires strong hands-on expertise in the Quantexa platform, data engineering, and complex data integration, preferably within banking or financial services.
Key Responsibilities:
- Design, configure, develop, and deploy Quantexa solutions aligned with business and technical requirements.
- Build and optimize entity resolution, data ingestion, scoring, network generation, and analytics pipelines.
- Develop data models and integrate structured and unstructured data from multiple source systems.
- Configure Quantexa Decision Intelligence components, including entities, documents, networks, strategies, and scoring models.
- Develop scalable data-processing solutions using Scala, Spark, and related big data technologies.
- Perform data profiling, cleansing, matching, reconciliation, and root-cause analysis to improve data quality.
- Collaborate with business analysts, architects, data scientists, and engineering teams to translate use cases into technical solutions.
- Troubleshoot performance and functional issues across development, test, and production environments.
- Implement automated testing, code reviews, version control, CI/CD, and deployment best practices.
- Prepare technical designs, configuration documents, operational guides, and knowledge-transfer materials.
Required Skills:
- 6–10 years of overall experience in software engineering, data engineering, or analytics solution development.
- Strong hands-on experience implementing solutions on the Quantexa platform.
- Proficiency in Scala, Apache Spark, and distributed data-processing concepts.
- Strong SQL skills with experience handling large and complex datasets.
- Experience with entity resolution, record linkage, data matching, network analytics, and graph-based analysis.
- Good understanding of data modelling, data quality, ETL/ELT, and data integration patterns.
- Experience with Git, build tools, automated testing, CI/CD pipelines, and Agile delivery practices.
- Strong analytical, debugging, problem-solving, and stakeholder communication skills.
Preferred Qualifications:
- Quantexa Certified Developer or equivalent platform training.
- Experience delivering solutions for financial crime, fraud detection, anti-money laundering, customer intelligence, risk, or compliance use cases.
- Banking or financial services domain experience.
- Exposure to cloud platforms such as Azure, AWS, or Google Cloud and to containerized deployment environments.
- Knowledge of Elasticsearch, graph concepts, and enterprise data security controls.
Benefits:
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:
· You can pursue innovative career tracks and opportunities here
· You can enhance your professional development through education and dedicated training
· We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.
Next Steps:
Please reach out to our friendly and welcoming team today to apply and register your interest in this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
Zusätzliche Informationen zur Beschäftigung
Die Vergütungsinformationen sind zum Zeitpunkt der Veröffentlichung dieser Stellenausschreibung korrekt. Cognizant behält sich das Recht vor, diese Informationen jederzeit unter Beachtung der geltenden gesetzlichen Bestimmungen zu ändern.
Bewerberinnen und Bewerber können verpflichtet sein, an Vorstellungsgesprächen persönlich oder per Videokonferenz teilzunehmen. Darüber hinaus kann es erforderlich sein, bei jedem Gespräch einen gültigen staatlichen Lichtbildausweis vorzulegen.
Cognizant ist ein Arbeitgeber mit Chancengleichheit. Ihre Bewerbung und Kandidatur werden nicht aufgrund von Rasse, Hautfarbe, Geschlecht, Religion, Glaubensbekenntnis, sexueller Orientierung, Geschlechtsidentität, nationaler Herkunft, Behinderung, genetischen Informationen, Schwangerschaft, Veteranenstatus oder sonstiger durch bundes‑, landes‑ oder kommunalrechtliche Vorschriften geschützter Merkmale berücksichtigt oder abgelehnt.
