Data Engineer - GCP

7 hours ago

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Logo of GetInData | Part of Xebia

GetInData | Part of Xebia

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 • Knowledge of the BigQuery DWH platform • Experience as a programmer and knowledge of software engineering, good principles, practices, and solutions • Familiarity with cloud Google Cloud Platform (GCP) • Familiarity with DevOps area and tools - GKE, Docker • Experience with Version Control System, preferably GIT • Experience with tools such as Spark or Airflow is nice to have • Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement

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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