Data Engineer
Indexed description
- Extraction of data from various data source systems, transformation into the staging area, loading into database, data warehouse or data lake 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.
At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.
To discover more, visit st.com/careers.
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