IT Developer

Shrnutí práce
Plný úvazek
Luxembourg
Několik dní doma
Plat: Neuvedeno
Dovednosti a odbornost
Vizualizace dat
Nástroje pro automatizaci
Spolupráce a týmová práce
Dovednosti řešení problémů
Datové inženýrství
+5

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Pozice

Popis pozice

Key Responsibilities:

Python Development :

  • Develop and maintain Python applications in alignment with business requirements.
  • Write efficient, reusable, and testable Python code.
  • Collaborate with business stakeholders to gather requirements and translate them into technical specifications.
  • Conduct code reviews to ensure adherence to coding standards and best practices.

Data Management and Analysis :

  • Develop and optimize SQL queries for data extraction, transformation, and loading (ETL) from various sources.
  • Analyse and interpret data to identify trends and patterns.
  • Create data visualizations to effectively communicate insights.

Automation :

  • Design and implement automation workflows using Airflow to streamline processes and improve efficiency.
  • Develop and maintain automation scripts to reduce manual tasks.
  • Monitor and optimise automation processes for performance and reliability.

Problem Solving/Troubleshooting :

  • Identify, diagnose, and resolve technical issues related to Python applications, SQL queries, automation scripts, infrastructure monitoring, and T24 interfaces.
  • Provide technical support to end-users as needed.

Collaboration :

  • Work closely with cross-functional teams to ensure alignment with business objectives.
  • Share knowledge and best practices with team members to foster a collaborative and innovative working environment.

Požadavky na pozici

  • Master degree or equivalent in computer science / engineering / Information Technology
  • 2-5 years experience
  • Strong programming and scripting skills with at least 2 years of experience in one of the following languages: Python/Java/C#/Go
  • Experience with Open Source stacks technologies as well as Continuous Integration platform
  • Experience in carrying out analysis of data using a wide range of quantitative methodologies
  • Strong Knowledge and fundamentals in database modelling, SQL technologies and build up data collection, data analysis and data visualization capacity
  • Understanding of Infrastructure and systems in the domain of responsibility
  • Understanding of the IT policies and procedures

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