Описание
PRODYNA is an innovative IT consulting company that provides a comprehensive service portfolio covering the entire application lifecycle. With tailored solutions in areas such as software development, cloud services, DevOps, Data & AI, design, managed services and more, we help companies overcome complex challenges and shape innovative business processes. We use state-of-the-art technologies to deliver future-proof and scalable solutions. Working at PRODYNA means being part of a dedicated, forward-looking team that drives innovation and technology with passion and values the personal support and development of every individual.
Задачи
•You are responsible for designing and conceptualizing modern data platforms that integrate and process large volumes of data from systems at scale.
•You also advise renowned clients on cloud transformations and agile software projects.
•You migrate existing applications to the cloud using Lift & Shift / Lift & Reshape approaches.
•You implement tools and solutions to ensure data quality, clean data and provide aggregated data for analysis.
•You support presales activities, including presentations, pitches and complex customer inquiries.
Требования
•Please note that a work permit for Germany is required for this position.
•Language: German - business fluent (C2), English - conversational (B1-B2).
•You have several years of professional experience in software development, particularly in data-driven projects, data warehousing or building data platforms.
•You have knowledge of developing pipelines and data integration workflows (ELT/ETL, Azure Data Factory, DBT, stored procedures or similar tools).
•You are familiar with data modeling and, depending on the area, have experience with Data Vault, Data Mesh, Kimball or Inmon.
•You are a team player, proactive, and enjoy working independently and in a solution-oriented way.
•You have extensive experience with Linux and networking, and have internalized security best practices.
•You have experience designing and delivering training sessions.
•You are willing to work on-site at least twice a week during the onboarding period.
Будет плюсом
•Knowledge of the following areas is an advantage: cloud (Azure or AWS), data science or business intelligence (reporting tools)
Условия
Условий в вакансии нет
