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Nagarro is a rapidly scaling Digital Product Engineering company that specializes in building innovative products, services, and experiences that inspire and delight users. With a global presence of over 18,000 experts across 36 countries, Nagarro operates in a dynamic and non-hierarchical work culture. The company is committed to delivering high-quality digital solutions across various devices and mediums, and is actively seeking talented individuals to join their team.
Nagarro
Lead SAP Sales Cloud projects as an Associate Principal Engineer, focusing on client satisfaction and project management.
Nagarro
Seeking a Distinguished Engineer to lead digital transformation initiatives and deliver measurable business results.
Nagarro
Seeking a Staff Engineer - DevOps Engineer with strong programming skills and experience in AWS and various DevOps tools.
Nagarro
Join Nagarro as a Business Analyst specializing in finance and CRM systems to enhance back-office processes.
Nagarro
Join Nagarro as a Staff Engineer specializing in ERP Oracle EBS Payroll, focusing on technical design and payroll operations.
Nagarro
The Managing Consultant SAP HANA Database will lead projects related to SAP HANA, ensuring optimal system operation and client advisory on cloud and on-premise solutions.
Nagarro
Join Nagarro as an Associate Staff Engineer, Java Fullstack, where you'll develop innovative software solutions in a collaborative environment.
Nagarro
Join Nagarro as an SAP FI Consultant with proficiency in German, responsible for supporting SAP FI in S/4HANA.
Nagarro
Join Nagarro as a Senior React Developer to build innovative WebTV applications for global clients.
Nagarro
Join Nagarro as a Technical Business Analyst to support finance project systems through data analysis and system integration.
Nagarro
Nagarro is seeking a Staff Engineer with expertise in Python and Django to develop scalable software solutions remotely.
Nagarro
Join Nagarro as an Associate Principal Engineer in Machine Learning, leveraging your expertise to design and deploy scalable ML solutions.