Crisp Analytics
https://crispanalytics.comAbout
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HTML/CSSLumiq is an end-to-end data company. We work with enterprises of various industries like financial, utility and publishing. We create Data Products and Solutions for solving their various business use cases related to AI/ML and Big Data Analytics. We are hiring a talented UX Designer who can help us by focusing on the design and experience of using our products.
Eligibility
Experience
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4-5 years of demonstrated experience in creating and implementing UX design
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Proficient with visual design programs such as Adobe Photoshop and others
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Ability to work effectively in a collaborative environment to create top-performing interfaces for customers
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Experience with coding and ability to troubleshoot using HTML, CSS and comparable languages
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Continued education and research into UX trends and current design strategy and technologies
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Professional written and interpersonal skills when communicating with customers
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Ability to prioritize and manage several milestones and projects efficiently
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Account for challenges using problem-solving skills and seek to optimize data for the best possible outcome
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Experience creating storyboards and product mapping
Must-Have Skills
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Use recent studies and findings to establish the best overall design elements to include in UX design experiences
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Build storyboards to conceptualize designs to accurately convey project plans to customers and senior management
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Design the aesthetics to be implemented within a product, from the layout menus and drop-down options to colors and fonts allowing for interface edits as needed
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Combine interface design concepts with digital design and establish milestones to encourage cooperation and teamwork
Good to have Skills
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Understanding of B2B application design
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Good to have Fintech domain design ,Power Point ,Figma, Marvel, Draw.io tools
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In Depth clarity of color theory , color domain psychology
Location : Noida
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Scala
Amazon Web Services (AWS)
The Data Engineering team is one of the core technology teams of Lumiq.ai and is responsible for creating all the Data related products and platforms which scale for any amount of data, users, and processing. The team also interacts with our customers to work out solutions, create technical architectures and deliver the products and solutions.
If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how a customer can use our products, then Lumiq is the place of opportunities.
Who are you?
- Enthusiast is your middle name. You know what’s new in Big Data technologies and how things are moving
- Apache is your toolbox and you have been a contributor to open source projects or have discussed the problems with the community on several occasions
- You use cloud for more than just provisioning a Virtual Machine
- Vim is friendly to you and you know how to exit Nano
- You check logs before screaming about an error
- You are a solid engineer who writes modular code and commits in GIT
- You are a doer who doesn’t say “no” without first understanding
- You understand the value of documentation of your work
- You are familiar with Machine Learning Ecosystem and how you can help your fellow Data Scientists to explore data and create production-ready ML pipelines
Eligibility
Experience
- At least 2 years of Data Engineering Experience
- Have interacted with Customers
Must Have Skills
- Amazon Web Services (AWS) - EMR, Glue, S3, RDS, EC2, Lambda, SQS, SES
- Apache Spark
- Python
- Scala
- PostgreSQL
- Git
- Linux
Good to have Skills
- Apache NiFi
- Apache Kafka
- Apache Hive
- Docker
- Amazon Certification
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
Spring BootWe are a technology company, at a stage where we are moving fast ahead. We have been enabling enterprises to derive the value of Data Science and technology. At Lumiq, we are thinking every day about how to use the latest technology and concepts to build products which can help our customers and enterprises in all aspects of their businesses.
We create Data oriented enterprise applications. The applications must be scalable and robust. This position creates the exact kind of enterprise applications which are easy to configure and manage from the end-user perspective. The integration with all the different services and APIs plays an important part in the whole architecture.
Eligibility
Experience and Qualification
- 2-5 Years of experience with Drools/Kofax Workflow.
- Java Microservices: 2-3 years Spring Boot, Spring Integration or Batch.
- Working knowledge of Databases
- Design and develop high-volume, low-latency applications for critical systems, delivering high-availability and performance.
- Write well designed testable, efficient code, and ensure that the designs comply with specifications.
- Bachelor's Degree in Computer Science or equivalent
Must Have Skills
- Java
- Drools
- Any Relational Database
- GIT
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Amazon Web Services (AWS)
Docker
JenkinsDevOps Engineer
The DevOps team is one of the core technology teams of Lumiq.ai and is responsible for managing network activities, automating Cloud setups and application deployments. The team also interacts with our customers to work out solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how you can use various technologies to improve user experience, then Lumiq is the place of opportunities.
Job Description
- Explore about the newest innovations in scalable and distributed systems.
- Helps in designing the architecture of the project, solutions to the existing problems and future improvements to be done.
- Make the cloud infrastructure and services smart by implementing automation and trigger based solutions.
- Interact with Data Engineers and Application Engineers to create continuous integration and deployment frameworks and pipelines.
- Playing around with large clusters on different clouds to tune your jobs or to learn.
- Researching about new technologies, proving the concepts and planning how to integrate or update.
- Be part of discussions of other projects to learn or to help.
Responsibilities
- 2+years of experience as DevOps Engineer.
- You understand actual networking to Software defined networking.
- You like containers and open source orchestration system like Kubernetes, Mesos.
- Should have experience to secure system by creating robust access policy and network restrictions enforcement.
- Should have knowledge about how applications work are very important to design distributed systems.
- Should have experience to open source projects and have discussed the shortcomings or problems with the community on several occasions.
- You understand that provisioning a Virtual Machine is not DevOps.
- You know you are not a SysAdmin but DevOps Engineer who is the person behind developing operations for the system to run efficiently and scalably.
- Exposure on Private Cloud, Subnets, VPNs, Peering, Load Balancers and have worked with them.
- You check logs before screaming about error.
- Multiple Screens makes you more efficient.
- You are a doer who don’t say the word impossible.
- You understand the value of documentation of your work.
- You understand the Big Data ecosystem and how can you leverage cloud for it.
- You know these buddies - #airflow, #aws, #azure, #gcloud, #docker, #kubernetes, #mesos, #acs
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We started with a simple question: w̲h̲a̲t̲ i̲f̲ y̲o̲u̲r̲ t̲e̲a̲m̲ c̲o̲u̲l̲d̲ f̲o̲c̲u̲s̲ o̲n̲ w̲h̲a̲t̲ t̲h̲e̲y̲ l̲o̲v̲e̲ m̲o̲s̲t̲?̲
𝐎𝐮𝐫 𝐚𝐧𝐬𝐰𝐞𝐫:
AI voice employees that handle the work nobody wants to do. Customer calls at 11 PM. Follow-ups that slip through the cracks. Onboarding that takes forever. These aren't just tasks—they're the things that keep great people from doing great work.
𝐖𝐡𝐚𝐭 𝐰𝐞'𝐯𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝:
The best technology feels invisible. Our AI employees don't feel like software—they feel like that reliable teammate who just gets things done. No hand-holding, just consistent results that make everyone's day better.
𝐇𝐨𝐰 𝐰𝐞 𝐭𝐡𝐢𝐧𝐤 𝐚𝐛𝐨𝐮𝐭 𝐢𝐭:
This isn't about replacing anyone. It's about giving your team superpowers. When AI handles the repetitive conversations, your people can focus on solving problems, building relationships, and creating things that matter.
𝐖𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞𝐬 𝐮𝐬:
Every business has incredible people doing mundane work. We think that's backwards. So we built AI employees that free up human potential—one conversation at a time.
We're not trying to change the world overnight. We're just making tomorrow a little better than today, for teams who believe work should be meaningful.
Ready to give your team superpowers?
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