77 385
7 101
Data System Design : Design and implement robust, scalable data processing systems: this involves selecting appropriate storage technologies, designing schemas, and planning integration strategies. Data Integration and ETL Development : Develop and maintain pipelines for data transformation, integration, and ETL processes. Ensure data quality and accessibility Monitor, tune, and optimize data applications and database performance. Analytics and Business Intelligence Support : Assist in developing analytics platforms and business intelligence solutions, ensuring that data can be effectively transformed into actionable insights Client Interaction : Work closely with clients to understand their business needs and technical requirements. Translate these requirements into effective data engineering solutions. Educational Background: Bachelor’s or master’s degree in CS, Engineering, IT, or a related field. Very good knowledge of English and Polish. Programming Language: Strong programming skills in languages such as Java, Scala or Kotlin. Cloud: Experience with public cloud providers AWS/Azure Database Technologies: Knowledge of SQL and NoSQL databases. Expertise in Big Data Technologies: Familiarity with big data frameworks and tools like Apache Hadoop, Plus: Any additional experience with Docker, Kubernetes, DevOps practices, CI/CD, DBT. Data Reply, as part of the Reply Group, offers a wide range of services to help customers to become data driven. Data Reply offers many years of experience in transformation projects on the topic of "Data Driven Enterprise". Our experts focus on the development of Streaming and Event-Driven applications, Data Platforms and Machine Learning solutions - automated, efficient and scalable - without compromising IT security.