We Cook iT is an international software house that delivers software development to its corporate customers by providing highly skilled, communicative IT professionals to build their customized products through outsourcing, nearshoring and turn-key projects’ solutions.
How do we differentiate ourselves? By investing in the professional growth and personal care of our software developers. We provide them with a premium service so that they can do the same for our customers.
Our talented team holds software engineers and sales experts, spread across offices in Europe and South America, and we represent a go-getting and driven company who aims to be an inspiring software house, knowing our future relies on IT.
We Cook iT stand for growth, support, dynamic, companionship and communication. Our head office is located in Portugal in the heart of Lisbon (Avenida da Liberdade) and we work mainly for the European market.
• Collect business requirement and develop advanced data mining solutions or identify, assess and deploy relevant existing data mining, machine learning and business intelligence
solutions;
• Specification and design of presentation interfaces with optimal usability/user experience;
• Identify, collect, convert and update different data types/sets in several locations (e.g. ETL);
• Produces data models according to specific problems statements;
• Scripting and programming;
• Contribute to the design and implementation of the analytics architecture and its solution
stack (including performance aspects, physical design, capacity dimensions etc...);
• Write the different documentation associated with the tasks and liaise with other project
teams as necessary to address cross-project interdependencies.
• Excellent knowledge of Data Analytics techniques and tools;
• Experience with languages like R, Python, PERL;
• Proficient in continuous code delivery and unit testing;
• Expertise in the ETL processes and tools (i.e. Talend Open Studio...);
• Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL);
• Knowledge of architectural design and implementation of scalable modern data stores;
• Knowledge of R-Studio infrastructure is an asset;
• Experience in developing interactive R / Python dashboards using packages like Shiny, Dash or similar is an asset;
• Experience in developing R / Python functions to perform linear algebra calculations with data frames and arrays, ensuring efficient manipulation of data is an asset;
• Experience in using the following libraries (or equivalents) is an asset:
o Data Management: Pandas (tidyverse and dplyr for R), Numpy;
o Data Visualizations: at least one among Matplotlib, Seaborn or Plotly (ggplot2 for R);
• Capability to write clear and structured technical documents;
• Ability to work in a team as well as autonomously;
• Results-oriented mindset, focused on delivering;
• Good communication skills in English, both orally and in written form.
- Opportunity to work in a fast-growing startup with a dynamic team.
- A culture that values innovation, cleanliness in code, and continuous improvement.
If you are passionate about development, yearn for technical challenges, and are eager to make a significant impact in a growing startup, we would love to hear from you.