To fuel our predictive solutions and ensure their accuracy, we aim at running the largest and sharpest B2B database ever.
As a software engineer, you are responsible for building large-scale infrastructural data mining systems using open-source technologies.
We aren’t rainmakers: the power of our predictions relies on your team!
Responsibilities
• Building large-scale infrastructural data mining systems using open-source technologies
• Build and ship other production-ready softwares
• Design and implement scalable, highly available backend components and micro-services
• Rapidly fix bugs and solve problems
• Write, review and maintain technical documents
Requirements
• MS in Computer Science or equivalent experience
• Min. 1 year of experience with object oriented programming language such as Java or GoLang, and scripting languages such as Python
• Strong familiarity with SQL database programming and optimization
• Strong algorithm, data structure and coding background
• Experience with Git or equivalent
• Excellent proficiency with UNIX development environments
• Excellent understanding of Internet and Web technologies (Browser rendering, DOM tree, etc.)
Core Requisites
• Experience with continuous integration environments and deployment processes
• Good self-motivation and teamwork spirit
• Flexibility under changing conditions and ability to multi-task between projects
• English professional efficiency
Bonus knowledge
• Agile/Scrum/Lean environment
• Scalability / Load testing / Performance optimization
• Distributed systems (HDFS, Hadoop, Spark)
• Queuing systems such as Kafka
• Elasticsearch / SolR
• NoSQL (Redis, MongoDB, etc.)
Hi,
I'm strong in java development and architecture design, very familiar with building enterprise services.
Serious and professional freelancer also, please check my profile to know more about me.
Drop me a message if you're interested in discussing more with me in detail.
Thanks,
DUy
I am experienced developer with expertise in flask,express and django python, I develop
web app and restful services. Apart from application development, I have work experience
in machine learning and natural language processing. I am a database architect also.
you can consider me a software engineer who has good knowledge of machine learning. lets discuss about this
Hi there,
Thanks for sharing this opportunity.
Sounds interesting..!! I am MongoDB & Elastic Search expert and I'm always up-to-date to latest technologies to deliver professional and high-quality products to the client.
On my experience with Elastic Search:
To provide you a better understanding of how this has been accomplished by me - I would like to run you through an example of one of my projects.
This was the "Expert Witness Profiler" project where I have a lot of unstructured and unorganized data in the form of witness files with detailed description of the cases under and post trial. These files had a plethora of information and we had to somehow extract the pieces of information related to a certain kind of profiles and witnesses.
I made use of the "River" concept to pull the data and Logstash to pipeline the data. Exploiting Kibana - I channelized the data in the form of blocks in ElasticSearch. Using this mechanism I could break the document information into relevant pieces that helped me to create small, fragmented, structure data items in ElasticSearch to find the names of the witnesses and profiles that were relevant for any custom search.
As our backend for it was in MongoDB so we use mongoosastic (using ElasticSearch with MongoDB). We used Kibana for visualizing and analyzing the data query, and provide an interface to end user with all the info.
Looking forward to further details to be shared by you.
Kind regards,
Sid