Location: Wroclaw, Poland(Travel 3 time in a week)

Experience: 5 to 12 years

Responsibility

Create and implement highly scalable and reliable data distribution solution using VQL, Python, Spark & open-source technologies, to deliver data to business components.
Work with Denodo, ADLS, Databricks, Kafka, data modelling, data replication, clustering, SQL Query patterns and indexing for handling for large data sets.
Demonstrate experience with Python and data access (Numpy, Scipy, panda etc.), machine learning (Tensorflow etc.), and AI libraries (Chat GTP etc.)

4-5 years of hands-on experience in developing large scale applications using data virtualization and/or data streaming technologies.
Software engineer/developer focused on cloud-based data virtualization and data delivery technologies.
Denodo platform familiarity and SQL experience highly desirable.
Know-how to apply standards, methods, techniques and templates as defined by our SDLC including code control, code inspection, code deployment.

Design, plan and deliver solutions in a large scale enterprise environment. Working with solution architect & business analysts to define implementation design & coding of the assigned modules/responsibilities with highest quality (bug-free).
Determining technical approaches to be used, and defining the appropriate methodologies.

Must be capable of working in a collaborative, multi-site environment to support rapid development and delivery of results and capabilities (i.e. AGILE SDLC).
Effectively communicating technical analyses, recommendations, status, and results to project management team. Produce secure and clean code that is stable, operational, consistent and well-performing.