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Senior Data Engineer
4 miesięcy temu
Technologies-expected : Java Python Apache Flink Kafka Apache Airflow Spark technologies-optional : AWS Google Cloud Platform Microsoft Azure about-project : We run a variety of projects in which our sweepmasters can excel.
Advanced Analytics, Data Platforms, Streaming Analytics Platforms, Machine Learning Models, Generative AI and more.We like working with top technologies and open-source solutions for Data & AI and ML/AI.
In our portfolio, you can find Clients from many industries, e.g., media, e-commerce, retail, fintech, banking, and telcos, such as Truecaller, Spotify, ING, Acast, Volt, Play, and Allegro.
Data & AI projects that we run and the company's philosophy of sharing knowledge and ideas in this field make Get In Data | Part of Xebia not only a great place to work but also a place that provides you with a real opportunity to boost your career.
About role As a Data Streaming Engineer's role, you will hold a vital position in the provision, development, implementation, enhancement, and upkeep of the Data platform.
Your role extends to guiding customers and disseminating best practices throughout the company, ensuring efficient utilization and optimization of data resources.
Additionally, you will actively contribute to the continuous improvement and innovation of data streaming processes, fostering a culture of excellence and adaptability within the organization.
responsibilities :
Development and committing of new functionalities and open-source tools R&D, maintenance, and monitoring of the platform's components Implementing and executing policies aligned to the strategic plans of the company concerning used technologies, work organization, etc.
Creating and propagating standards of work in projects Undertaking work that requires the application of fundamental principles in a wide and often unpredictable range of contexts Contributing to the organization's knowledge database requirements-expected : Proficiency in a programming language like Java and Python Experience in building real-time data streaming pipelines with Apache Flink Familiarity with the Kafka messaging system Hands-on experience with Airflow for orchestration Working with Spark messaging systems Proficiency in working with AWS/GCP/Azure Cloud Fundamental knowledge of data engineering, building data platforms, and solutions Understanding complexity and relationships between businesses, suppliers, partners, competitors, and clients Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement offered : Salary: PLN net + VAT/h B2 B (depending on knowledge and experience) 100% remote work Flexible working hours Possibility to work from the office located in the heart of Warsaw Opportunity to learn and develop with the best Big Data experts International projects Possibility of conducting workshops and training Certifications Co-financing sport card Co-financing health care All equipment needed for work