GetInData | Part of Xebia
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 • Hadoop • NoSQL • Spark • Kafka
Data Engineer - GCP
March 19
GetInData | Part of Xebia
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 • Hadoop • NoSQL • Spark • Kafka
📋 Description
• A Data Engineer's role involves crafting, constructing, and upholding the structure, tools, and procedures essential for an organization to gather, store, modify, and scrutinize extensive data amounts. • This position involves creating data platforms using typically provided infrastructure and establishing a clear path for Analytics Engineers who utilize the system. • Working alongside Platform Engineers to assess and choose suitable technologies and tools for the project. • Supporting and diagnosing technical problems of the data processing layer. • Implementing intricate data intake procedures. • Constructing efficient data models. • Implementing and executing policies aligned to the strategic plans of the company concerning used technologies, work organization, etc. • Ensuring compliance with industry standards and regulations in terms of security and data privacy applied in the data processing layer. • Providing training and fostering knowledge-sharing.
🎯 Requirements
• Proficiency in a programming language like Python and SQL • Deep understanding of data warehousing concepts and experience with platforms such as Snowflake, BigQuery, or Redshift • Experience as a programmer and knowledge of software engineering, good principles, practices, and solutions • Familiarity with cloud GCP / AWS • Familiarity with DevOps area and tools - GKE, Docker • Familiarity with tools like Airflow • Experience with distributed computing frameworks (e.g., Spark, Hadoop) and data integration tools • Experience with CI/CD tools and practices for automated testing, deployment, and monitoring (e.g., Jenkins, GitLab CI, GitHub Actions)
🏖️ Benefits
• 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
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