
Data Engineer
1 week ago
Our organization is seeking a highly skilled and experienced Data Infrastructure Specialist to join our team. The successful candidate will be responsible for architecting and maintaining a hybrid on-premises and cloud-based data platform that ingests, stores, and serves large volumes of financial data with reliability and low latency.
Main Responsibilities:- Design and build scalable, high-performance data infrastructure across on-prem and cloud environments.
- Develop real-time and batch-oriented data pipelines for market data ingestion using modern technologies.
- Integrate and manage data from internal systems and external vendors, ensuring reliability and quality.
- Implement best practices around data governance, access control, monitoring, and observability.
- Collaborate with traders, researchers, and developers to align data systems with business needs.
- Automate infrastructure provisioning and deployments using modern DevOps and IaC tools.
- Assist and mentor others working on data pipelines and orchestration.
- Provide production support, including out-of-hours assistance when needed.
- Continuously improve system observability, monitoring, and alerting.
- Ensure high availability and disaster recovery for mission-critical data services.
- Degree in Maths, Engineering, Computer Science, or comparable experience.
- Strong understanding of distributed systems, data storage (e.g. S3, columnar stores), and streaming technologies (e.g. Kafka).
- Proficiency with Linux, networking, and performance tuning.
- Cloud platform experience (AWS, GCP).
- Proficiency in Python, Go, or Java.
- SQL and data modelling skills.
- Experience with Kubernetes, Docker, and infrastructure as code.
- Familiarity with orchestration tools like Airflow or Dagster.
- Strong communication skills and fluency in English.
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