Data Management professional at Kyndryl involved in creating innovative data solutions and ensuring the seamless operation of complex data systems. Collaborating with teams to transform requirements into scalable database solutions.
About the role
- 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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