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Should be confident with building new client relationship and maintaining existing onesShould have evidence of strong skills and possess good negotiation skillsThe ideal candidate will have at least 1
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Should be confident with building new client relationship and maintaining existing onesShould have evidence of strong skills and possess good negotiation skillsThe ideal candidate will have at least 1
Bachelors Degree in Science,Pharmacy,Engineering,or related fieldExperience Required: 1-6 years in Medical Device Sales (Therapeutic Segment preferred)Ensure proper documentation of trials,installatio
Data Engineer-Skill-Apache, Scala, Spark
Willing to work in 12-hour shifts. Proficient in various automation tools and technologies such as Ansible,Salt,PowerShell,Python,etcWeekend on-call (mostly no work,just being available in case of an
Experience - 5 to 15 years .
Work location = Bangalore only . Work Mode = 3 days work from office (Hybrid) . Interview Process: Online Coding Assessment+ 1st Technical Interview + Techno Managerial Round + HR Discussion
email-bushra@bharatjobs.comSAP SAP UI5 and Fiori Ui5+Fiori Immediate-15days B2 -4 to 6 yrs 15lpa B3 8-12 - 22 lpa C1-10+ yrs 25lpa
email-bushra@bharatjobs.comclient -MNC Apache ,spark ,SCALA requirement location -Chennai and Bangalore notice period - immediate joining - joining 1 dec experience -6-9 years and 9+ years- Grade B2
Preferred Location Experience - 5 to 15 years . Relevant Experience . Current CTC . Expected CTC . Notice Period . Current Lcation.
Preferred LocationExperience - 3 to 12 years . Relevant Experience . Current CTC . Expected CTC . Notice period . Current location .
o9 Technical Consultant Responsibilities Develop and customize o9 platform solutions, including scripts, integrations, and custom workflows. Implement technical configurations for supply ,
Preferred LocationExperience - 5 to 12 years . Experience . Current CTC . Expected CTC . Notice period . Current location .
Data Pipeline & DevOps Tools: Hands-on experience with building,optimizing,and deploying data pipelines in cloud environments,including tools like Docker,Kubernetes,Apache Airflow,and MLFlowCollaborat
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