Data Engineer

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:office: Who is Vinivia

We’re a young Swiss startup focused on providing interactive solutions to our customers. Our main product is live streaming which leverages the most modern technologies available.

:face_with_monocle: What we are looking for

We are seeking a seasoned Data Engineer to join our dynamic team. The ideal candidate will have a rich background in Design, ETL, encompassing data. Experience with both mobile and web design is essential, along with a unique blend of working on startups from scratch and at major IT companies.

:muscle: Responsibilities

●      Design, develop, and maintain end-to-end ETL pipelines, encompassing data extraction, transformation, and loading processes to ensure the availability and accuracy of data for analytics and machine learning.

●      Collaborate closely with data scientists, machine learning engineers, and other stakeholders to understand requirements and implement effective solutions that cater to their needs.

●      Build and maintain scalable, high-performance services using Python to serve machine learning application results, ensuring reliability, low latency, and optimal performance.

●      Apply best practices in software development to ensure code quality, maintainability, and scalability of ETL pipelines and services.

●      Utilize Python expertise to optimize data processing and transformation tasks, implementing efficient algorithms and techniques.

●      Develop and maintain documentation for ETL processes, data flow, and service architecture to ensure clear communication and knowledge sharing within the team.

●      Monitor and troubleshoot ETL pipelines and services to identify and resolve issues promptly, ensuring minimal disruption to operations.

●      Stay updated with the latest industry trends, tools, and technologies related to data engineering and machine learning, and actively apply this knowledge to enhance our processes and systems.

:nerd: Skills and Qualifications

●      Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.

●      Proven professional experience as a Data Engineer, building and maintaining ETL pipelines and services in Python.

●      Strong proficiency in Python programming, with the ability to write clean, efficient, and maintainable code.

●      Solid understanding of software development principles, including version control, code review, and testing.

●      Proficiency in SQL and database technologies; experience with ClickHouse is a significant plus.

●      Familiarity with machine learning concepts and practices, enabling effective collaboration with data science teams.

●      Excellent problem-solving skills and the ability to analyze and optimize complex data processing workflows.

●      Strong communication skills, both written and verbal, with the ability to collaborate effectively within cross-functional teams.

●      Detail-oriented and self-driven, with a strong sense of ownership and accountability.

:sparkling_heart: Benefits

  • Work from anywhere policy

  • Competitive compensation package

  • Learning budget

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