
Senior Data Engineer
2 weeks ago
The Role:
Are you passionate about real-time data, large-scale distributed systems, and modern data platforms? We're looking for a skilled
Data Streaming Engineer
to join our growing team and drive cutting-edge streaming and analytical solutions.
Responsibilities
- Design, develop, and maintain real-time streaming use cases leveraging
Azure Service Bus, Event Hubs, Kafka, and Azure Functions
. - Work with
Spark Streaming
(unbounded data, streaming data frames, checkpoints, streaming joins, etc.) to build scalable pipelines. - Deploy and manage workloads on
Kubernetes
using containers and microservices-based architectures. - Implement robust monitoring and observability with
Prometheus, Grafana, and ELK stack
. - Work with modern data lake table formats such as
Delta Lake, Apache Iceberg, and Apache Hudi
. - Set up and optimize analytical databases and query engines like
Trino, StarRocks, and ClickHouse
for high-performance data querying.
What We're Looking For
- Proven hands-on experience with real-time streaming platforms and data integration.
- Strong background in
distributed data systems and streaming frameworks
. - Expertise in
Kubernetes, microservices, and containerized deployments
. - Solid knowledge of
observability and monitoring stacks
. - Familiarity with
modern data lakehouse technologies and query engines
. - A problem-solver who thrives in dynamic environments and enjoys working with emerging technologies.
Why Join Us?
- Opportunity to work with cutting-edge data platforms and real-time technologies.
- Collaborative, innovation-driven environment.
- Growth-focused role with exposure to large-scale data engineering challenges.
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