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1.0 - 3.0 years

3 - 6 Lacs

Mumbai, Maharashtra, India

On-site

Work with data from multiple clients across industries Review clusters of sentences and use tools to create tags and to tag data Focus for extended periods of time to achieve goals Change tasks quickly as the project focus progresses - Meet productivity and quality goals Dialog designers may also be required to be the Point of Contact (POC) for specific projects This involves project managing all deliverables for the given use cases, ensuring that other analysts on the team are completing assigned work, and working with engineering / TechOps teams to surface technical issues Additionally, Dialog Designers may be required to be a buddy for new analysts joining the team New analysts will shadow buddies, and use buddies as a resource for questions

Posted 1 day ago

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4.0 - 8.0 years

3 - 6 Lacs

Mumbai, Maharashtra, India

On-site

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! You will be working as an Associate Data Architect within the domain, designing and delivering big data pipelines for structured and unstructured data that are running across multiple geographies, helping healthcare organizations achieve their business goals with use of data ingestion technologies, cloud services & DevOps. You will be working with Architects from other specialties such as Cloud engineering, Software engineering, ML engineering to create platforms, solutions and applications that cater to latest trends in the healthcare industry such as digital diagnosis, software as a medical product, AI marketplace, amongst others. Role & Responsibilities: Work with cloud engineers and customers to solve big data problems by developing utilities for migration, storage and processing on Google Cloud. Design and build a cloud migration strategy for cloud and on-premise applications. Diagnose and troubleshoot complex distributed systems problems and develop solutions with a significant impact at massive scale. Build tools to ingest and jobs to process several terabytes or petabytes per day. Design and develop next-gen storage and compute solutions for several large customers. Communicate with a wide set of teams, including Infrastructure, Network, Engineering, DevOps, SiteOps teams, and cloud customers. Build advanced tooling for automation, testing, monitoring, administration, and data operations across multiple cloud clusters. Better understanding of Data modeling and governance

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