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 Scala
• Working with Spark messaging systems
• Experience with Hadoop
• Hands-on experience with Kubernetes
• Strong programming skills with a solid understanding of software engineering principles, best practices, and solutions
• Experience with Version Control System, preferably GIT
• Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement

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.

,[Development and maintenance of ETL and data platforms (Python, Scala, Spark, HDFS, Hive), Development and maintenance of access applications for business users and user support (Airflow, Jupyterhub, Trino, Superset, MLFlow) in the context of Kubernetes, Docker, ArgoCD, Automation and CICD (Gitlab-CI), Monitoring (Prometheus), R&D, maintenance, and monitoring of the platforms components, Implementing and executing policies aligned with the companys strategic plans concerning used technologies, work organization, etc. Requirements: Python, Scala, Spark, Hadoop, Kubernetes, GIT, Azure 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