Big Data Engineer building scalable data ingestion platforms at Allegro. Work with advanced data science and AI applications in a dynamic and collaborative environment.
Responsibilities
Build a highly scalable and fault-tolerant data ingestion for millions of Allegro customers
Process 5 billion clickstream events every day from all Allegro sites and mobile applications
Engage in projects based on practical applications of data science and AI
Collaborate within a team of experienced engineers organized into various specialized teams
Requirements
Programming in languages such as Scala or Java, Python
Strong understanding of distributed systems, data storage, and processing frameworks like dbt, Spark or Apache Beam
Knowledge of GCP (especially Dataflow and Composer) or other public cloud environments like Azure or AWS
Use good practices such as clean code, code review, TDD, CI/CD
Navigate efficiently within Unix/Linux systems
Positive attitude and team-working skills
Eager for personal development and keeping knowledge up to date
English at B2 level
Benefits
Flexible working hours in an office first model
Annual bonus depending on your annual assessment and the company's results
Well-located offices with fully equipped kitchens and bicycle parking facilities
Excellent working tools including height-adjustable desks and interactive conference rooms
A wide selection of varied benefits in a cafeteria plan
English classes paid for related to the specific nature of your job
Macbook Pro / Air or Dell with Windows depending on preference
High degree of autonomy in terms of organizing your team’s work
Team tourism, training budget, and an internal educational platform
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