GetInData | Part of Xebia is a company specializing in Big Data solutions, providing a variety of platforms and services to help businesses turn their data into valuable assets. Their offerings include Machine Learning platforms, a Modern Data Platform for self-service analytics, a Streaming Analytics Platform for real-time data processing, and comprehensive Data Science tools. Established in 2014, GetInData focuses on building efficient data infrastructures and providing training and support to improve data management productivity. They work with a range of open-source and public cloud technologies, and emphasize a collaborative, client-focused approach in delivering their solutions.
Big data β’ Hadoop β’ NoSQL β’ Spark β’ Kafka
March 19
GetInData | Part of Xebia is a company specializing in Big Data solutions, providing a variety of platforms and services to help businesses turn their data into valuable assets. Their offerings include Machine Learning platforms, a Modern Data Platform for self-service analytics, a Streaming Analytics Platform for real-time data processing, and comprehensive Data Science tools. Established in 2014, GetInData focuses on building efficient data infrastructures and providing training and support to improve data management productivity. They work with a range of open-source and public cloud technologies, and emphasize a collaborative, client-focused approach in delivering their solutions.
Big data β’ Hadoop β’ NoSQL β’ Spark β’ Kafka
β’ We are excited to announce that we are looking for a Data Engineer! β’ This position is vital to our company, and we are seeking candidates with outstanding skills and experience. β’ Although there isn't an immediate project available, we invite you to reach out and explore future opportunities with us. β’ A Data Engineer's role involves the design, construction, and upkeep of data architecture, tools, and procedures facilitating an organization's collection, storage, manipulation, and analysis of substantial data volumes. β’ This position involves erecting data platforms atop commonly provided infrastructure and establishing a streamlined path for Analytics Engineers who rely on the system. β’ Responsibilities include working together with Platform Engineers, development of new functionalities and open-source tools, executing intricate data intake procedures, ensuring compliance with industry standards, and conducting training and knowledge-sharing.
β’ Proficiency in a programming language like Python / Scala or Java β’ Knowledge of Lakehouse platforms - Databricks β’ Experience working with dbt β’ Familiarity with Version Control Systems, particularly GIT β’ Experience as a programmer and knowledge of software engineering, good principles, practices, and solutions β’ Extensive experience in Microsoft Azure β’ Knowledge of at least one orchestration and scheduling tool, for example, Airflow, Azure Data Factory, Prefect, Dagster β’ Familiarity with DevOps practices and tools, including Docker, Terraform, CI/CD, Azure DevOps β’ Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement
β’ 100% remote work β’ Flexible working hours β’ Possibility to work from the office located in the heart of Warsaw β’ Opportunity to learn and develop with the best Big Data experts β’ International projects β’ Possibility of conducting workshops and training β’ Certifications β’ Co-financing sport card β’ Co-financing health care β’ All equipment needed for work
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