The Data Engineer shall shall collect, transform and store data using pipelines and storage systems.
Extraction of data from various data source systems, transformation into the staging area, loading into database, data warehouse or datalake systems.
Ensure quantitative and qualitative access to data sources.
Ensure availability of data and guarantee quality of its use in-order-to facilitate its exploitation by Data analysts and Data scientists.
Scope of intervention is focused on application systems around data management and processing and on Big Data, IoT platforms.
Use of analytic applications, techniques, and statistical methods to organize, synthesize and translate data efficiently.
Conduct statistical studies, carry out analyses on available data sources in order to produce value.
Drives analysis to solve a problem and/or satisfy a business need.
Bachelor's/ Master's degree in Computer Science, Information Technology or Engineering, or equivalent
2 to 5 years of experience involving a full Software Development Life Cycle model.
Prior experience with Data pipelining and Data modelling would be advantageous.
Knowledgeable and familiar with various programming languages (Python, Java, SQL, PL/SQL, Shell scripting, ETL scripting/tool) and databases (MySQL, MariaDB, Oracle).
Strong interpersonal communication skills; able to work and collaborate with others.