3 Task Management Jobs

ZS's Platform Development team designs, implements, tests, and supports ZS's ZAIDYN Platform which helps drive superior customer experiences and revenue outcomes through integrated products & analytics. Whether writing distributed optimization algorithms or advanced mapping and visualization interfaces, you will have an opportunity to solve challenging problems, make an immediate impact, and contribute to bringing better health outcomes. What you'll do Pair program, write unit tests, lead code reviews, and collaborate with QA analysts to ensure you develop the highest quality multi-tenant software that can be productized. As part of our full-stack product engineering team, you will build multi-tenant cloud-based software products/platforms and internal assets that leverage cutting-edge technology based on the Amazon AWS cloud platform. Work with junior developers to implement large features that are on the cutting edge of Big Data. Be a technical leader to your team, and help them improve their technical skills. Stand up for engineering practices that ensure quality productsautomated testing, unit testing, agile development, continuous integration, code reviews, and technical design. Work with product managers and architects to design product architecture and to work on POCs. Take immediate responsibility for project deliverables. Understand client business issues and design features that meet client needs. Undergo on-the-job and formal trainings and certifications, and constantly advance your knowledge and problem-solving skills. What you'll bring Bachelor's Degree in CS, IT, or related discipline. Strong analytic, problem-solving, and programming ability. Experience in coding in an object-oriented language such as Python, Java, C#, etc. Hands-on experience on Apache Spark, EMR, Hadoop, HDFS, or other big data technologies. Experience with development on the AWS (Amazon Web Services) platform is preferable. Experience in Linux shell or PowerShell scripting is preferable. Experience in HTML5, JavaScript, and JavaScript libraries is preferable. Understanding of Data Science Algorithms. Good to have Pharma domain understanding. Initiative and drive to contribute. Excellent organizational and task management skills. Strong communication skills. Ability to work in global cross-office teams. ZS is a global firm; fluency in English is required.

What you'll do As part of our full-stack product engineering team, you'll build multi-tenant cloud-based software products/platforms and internal assets that leverage cutting-edge technology on the Amazon AWS cloud platform. Pair program, write unit tests, lead code reviews, and collaborate with QA analysts to ensure you develop the highest quality multi-tenant software that can be productized. Work with junior developers to implement large features that are on the cutting edge of Big Data. Be a technical leader to your team, and help them improve their technical skills. Stand up for engineering practices that ensure quality productsautomated testing, unit testing, agile development, continuous integration, code reviews, and technical design. Work with product managers and architects to design product architecture and to work on POCs. Take immediate responsibility for project deliverables. Understand client business issues and design features that meet client needs. Undergo on-the-job and formal trainings and certifications, and constantly advance your knowledge and problem-solving skills. What you'll bring 1-3 years of experience in developing software, ideally building SaaS products and services. Bachelor's Degree in CS, IT, or related discipline. Strong analytic, problem-solving, and programming ability. Good hands-on experience to work with AWS services (EC2, EMR, S3, Serverless stack, RDS, Sagemaker, IAM, EKS etc.). Experience in coding in an object-oriented language such as Python, Java, C#, etc. Hands-on experience on Apache Spark, EMR, Hadoop, HDFS, or other big data technologies. Experience with development on the AWS (Amazon Web Services) platform is preferable. Experience in Linux shell or PowerShell scripting is preferable. Experience in HTML5, JavaScript, and JavaScript libraries is preferable. Good to have Pharma domain understanding. Initiative and drive to contribute. Excellent organizational and task management skills. Strong communication skills. Ability to work in global cross-office teams. ZS is a global firm; fluency in English is required.

What you'll do We're looking for experienced Knowledge Graph developers with the following technical skills and experience: Undertake complete ownership in accomplishing activities and assigned responsibilities across all phases of project lifecycle to solve business problems across one or more client engagements. Apply appropriate development methodologies (e.g., agile, waterfall) and best practices (e.g., mid-development client reviews, embedded QA procedures, unit testing) to ensure successful and timely completion of assignments. Collaborate with other team members to leverage expertise and ensure seamless transitions; Exhibit flexibility in undertaking new and challenging problems and demonstrate excellent task management. Assist in creating project outputs such as business case development, solution vision and design, user requirements, prototypes, and technical architecture (if needed), test cases, and operations management. Bring transparency in driving assigned tasks to completion and report accurate status. Bring Consulting mindset in problem solving, innovation by leveraging technical and business knowledge/expertise and collaborate across other teams. Assist senior team members, delivery leads in project management responsibilities. Build complex solutions using Programming languages, ETL service platform, etc. What you'll bring Bachelor's or master's degree in computer science, Engineering, or a related field. 4+ years of professional experience in Knowledge Graph development in Neo4j or AWS Neptune or Anzo knowledge graph Database. 3+ years of experience in RDF ontologies, Data modeling & ontology development. Strong expertise in Python, PySpark, SQL. Strong ability to identify data anomalies, design data validation rules, and perform data cleanup to ensure high-quality data. Project management and task planning experience, ensuring smooth execution of deliverables and timelines. Strong communication and interpersonal skills to collaborate with both technical and non-technical teams. Experience with automation testing. Performance Optimization: Knowledge of techniques to optimize knowledge graph operations like data inserts. Data Modeling: Proficiency in designing effective data models within Knowledge Graph, including relationships between tables and optimizing data for reporting. Motivation and willingness to learn new tools and technologies as per the team's requirements. Additional Skills Strong communication skills, both verbal and written, with the ability to structure thoughts logically during discussions and presentations. Experience in pharma or life sciences data: Familiarity with pharmaceutical datasets, including product, patient, or healthcare provider data, is a plus. Experience in manufacturing data is a plus. Capability to simplify complex concepts into easily understandable frameworks and presentations. Proficiency in working within a virtual global team environment, contributing to the timely delivery of multiple projects. Travel to other offices as required to collaborate with clients and internal project teams.