Data Engineer with Python

Your tasks

• Design, build, test and deploy Cloud and on-premise data analytics services
• Collaborate with stakeholders
• Independently manage and come with implementation options

Your skills

• Openness to work in a hybrid model (2 days from the office per week)

• Minimum 4 years of software development experience, including min 3 years of Python programming experience

• Strong Python with knowledge of at least one Python web framework such as Django, Flask, etc.

• Have mindset of design thinking and ability to draw out the solution design
• Data Engineering background
• Experience of streaming data pipeline using PySpark, Apache Beam frameworks

Nice to have

• Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement

• Knowledge of Microservices based architecture and patterns
• Exposure to any Reporting/Analytics tool like Qliksense/Qlikview

We offer you

• Working in a highly experienced and dedicated team
• Extra benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.)
• Contract of employment or B2B contract
• On-line training and certifications fit for career path
• Social events
• Access to e-learning platform
• Ergonomic and functional working space