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SaaS solution that uses econometric algorithms for an intelligent analysis of public data

Back-end Developer Big Data Analytics NLP and AI algorithms

€45k – €60k
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Job Description
You’re interested in big data, natural language processing and building large scalable software from scratch?

IPlytics is a Berlin based Data Analytics Startup that develops a SaaS Solution (IPlytics Platform) to predict technology trends and analyze market developments. We are looking for a dedicated and methodical backend engineer who is passionate about solving versatile tasks with scalable high performance code in a powerful startup environment. This role’s focus will be on Java development and information retrieval systems. You should have a strong command of efficient algorithms and be able to understand and optimize available ones.

We are a young, dynamic and interdisciplinary company with a selected team of experts. In an inspiring working atmosphere, we offer you the chance to work cross-functional and play a key role in the extension of our product. We are looking for doers who are passionate about making high-quality software – with large responsibility from day one.

Our stack

Java | Solr | Spring | SQL | Hadoop | HDFS | Hbase | Azure

Your Responsibilities
Together with our CTO and our head of data science you will be responsible for the stability and scalability of our Java-based backend. You will improve the architecture and add features. You will be working on information retrieval and big data algorithms processing the diverse data set that we gather every day: Patent data, research articles, business news, company profiles, standards specifications and many more.

Design, develop, and implement Solr / HBase-based big data solutions
Maintain and improve our spring based web applications
Research, evaluate, and deploy new tools, libraries and frameworks
Identify gaps and opportunities for improvement of existing solutions
Develop and clean testable code
Be an active hands-on team member that loves to collaborate with others

Your Profile

At least 5 years of professional back-end development experience in building large software systems
Excellent knowledge in Java
Hands-on experience with large-scale with databases and data analytics tools
Comfortable with test driven software development and tools like Git, Maven and Issue-tracking systems
Experienced with building scalable web applications with frameworks like Spring
Exposure to frameworks and search engines like Solr (Lucene)
Experienced with both SQL- and NoSQL-databases
You are highly motivated and an avid learner continually advancing your skills and challenging yourself
Get-Things-Done-Attitude, responsible, goal-oriented, team player
Passionate about delivering quality
You are looking for a place to both challenge and reward you for great accomplishments
University degree in computer science / software engineering or equivalent qualification

What we offer

Contribute to a unique software product that continues to excite us and our customers
challenging and versatile tasks
responsibility from day one in a great, agile team of diverse, smart, and passionate people
the chance to build something from scratch
open minded, young and highly motivated team
creative environment

How to apply

CV and if you have a GitHub or Bitbucket profile or any contribution to Open Source projects
if any, links to past projects you have contributed to
your university degree including grades
if any, credentials of your last employees
briefly state why you are interested in working for us
send your application via email to Irene: career@iplytics.com

Contact
IPlytics | Irene Peruzzi | career@iplytics.com
Ohlauer Str. 43 | 10999 Berlin | iplytics.com

IPlytics at a glance

SaaS solution that uses econometric algorithms for an intelligent analysis of public data

IPlytics focuses on Business Services, Information Services, ICT, and R&D. Their company has offices in Berlin. They have a small team that's between 11-50 employees.

You can view their website at http://www.iplytics.com or find them on Twitter, Facebook, and LinkedIn.

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