Informacje o stanowisku

A Data Engineers 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.

• 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)

A Data Engineers 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: Python, SQL, GCP, AWS, Docker, Kubernetes, Airflow, Snowflake, BigQuery, Redshift, Spark, Hadoop, Jenkins, GitLab, GitHub Actions Tools: Jira, GitLab, GIT, Jenkins / GitLab, Agile. Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects, Team Events, Training budget, Free coffee, Gym, Bike parking, Playroom, Free snacks, Free beverages, In-house trainings, Startup atmosphere, No dress code, Kitchen.

Praca Warszawa

Warszawa - Oferty pracy w okolicznych lokalizacjach