The Senior Data Engineer will develop real-time data pipelines, own services for analytics and detection, and build end-to-end solutions while ensuring high system availability.
A leading mobile marketing and audience platform, empowers the app ecosystem with cutting-edge solutions in mobile marketing, audience building, and monetization. With integration into over 500,000 monthly active apps and a global reach, the platform leverages first-party data to deliver impactful and scalable advertising solutions.
Our Data Science team is looking for a data enthusiast ML engineer to join and handle batch processing tens of billions of events from billions of users. You’ll have the opportunity to impact on a daily level our data products development in a collaborative culture.
Responsibilities:- Develop and deploy batch data pipelines processing billions of data signals.
- Support real-time NLP applications.
- Design data flows and develop utilities that allow the team member to work more efficiently.
- Manage data pipelines from and to all of our data sources, such as Vertica and AWS S3.
- Develop CI/CD pipelines.
- Work closely with DS, DA, DevOps, ETL engineers, and product managers.
- Build production-grade LLM and RAG systems for data-driven classification and prediction
- 4 years as a data engineer or ML engineer – A must.
- B.Sc. in engineering, computer science, or other quantitative fields – A must.
- Practical experience with Python and SQL – A must.
- Understanding ML and DL concepts.
- Practical experience with container-based development (e.g., Docker); Kubernetes experience is a plus.
- Experience in the design and development of scalable big data solutions.
- Experience with AWS platform – S3, SQS, etc.
- Experience with PySpark – A Must
- Passion for data and DS workflows, independence and being a team player.
- Polish public holidays.
- 20 working days per year is Non-Operational Allowance and settled to be used for personal recreation matters and are compensated in full. These days have to be used within the year, with no rollover to the next calendar year.
- Health Insurance.
- Gym Subscription (Multisport).
Top Skills
Argo Wf
AWS
Flink
GCP
Git
Go
Grafana
Java
Jenkins
Kafka
Kubernetes
Oci
Prometheus
Protobuf
Python
Scala
Spark
SQL
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