Our fully qualified Big Data Engineers are particularly skilled in data collection and data analysis. The focus is put on integration of incoherent data, development of Big Data solutions and monitoring results.

Apart from the experience in software engineering our experts are fully skilled in data warehousing, data quality, data cleansing, data governance, ETL development, environments integration, Cloud Computing services.

All our Big Data Scientists have the deep knowledge of applied mathematics, statistics and IT with a distinct skill of understanding business logics.
They work on developing algorithms of machine learning and artificial intelligence on a daily basis. Their objective is to discover a logic of business phenomenon by analyzing and integrating vast volumes of data of different kinds in order to finally present it in form of the algorithm that enables control of the process.

Our Big Data Architects are able to consult, guide, design and implement Big Data solutions, integrating them perfectly with all company’s environments. Among their competencies there are architectural design, system installation, pipeline design supporting Hadoop data lake in order to feed data analytics structure that are successively used by Data Scientist for artificial intelligence purposes. Our Big Data Architects can support you also in aligning your action plans with norms and standards as well as defining best practices for business continuity and security rules. They are able to run the project team too.

Big Data Administrators who work for us have a deep knowledge of operative environments being able to install and administer all Big Data components on-premise and in Cloud. All activities are performed according to DevOps culture, using best practices such as Infrastructure as Code. The vendor-agnostic characteristics give them opportunity to manage different appliance available on a market (Apache, Cloudera, Hortonworks, MapR, Oracle). They manage an integration between organization’s tools (or third party’s tools) and Big Data solutions chosen.