Pharmaceutical Client: Developed cloud-based data platforms to support research and analytics in life sciences. Implemented robust ETL processes
and data modeling to facilitate data-driven decisions in clinical and operational domains.

The person is expected to join the global identity and access management team for a customer that is one of the biggest pharmaceutical companies in
Europe. The candidate is expected to work really independently with some guardrails. There are people from our company in the team that there will be
a close collaboration with.

The project aims to detect threats in the area of security. We analyze logs and identify abnormal patterns based on login activity. Detections are built using streaming technologies — primarily Flink. Most of the logic is implemented in Flink SQL, but critical components are written using the Datastream API (Java). There are many proof-of-concepts — we evaluate technologies (e.g., different databases for our use cases). As part of the work, a platform was created for managing and developing Flink SQL jobs,
which we continuously improve. Additionally, we have the opportunity to contribute to open-source projects.

Responsibilities:

Design and implement new functionality
Maintain and troubleshoot the solution
Performance and reliability tuning
Support other teams using the solution

Technologies required:

Flink SQL, Flink (Java), pyFlink (occasionally)
Kafka
Kubernetes, Flink Kubernetes operator

Nice to have:

AWS
Temporal
Spring boot, Spring batch
Redis
Noe4j
Postgres
Grafana, Prometheus
ELK

Senior Flink Developer

Avenga