Data Platform Engineer with SQL and cloud skills
Core
Building and operating mission-critical data platforms and ETL pipelines for electronic trading infrastructure.
Role type
Data Platform Engineer
Builds
Data platforms, ETL pipelines, and data integration services for trading systems.
Domain
Financial services / Electronic trading / Cloud data engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, ETL pipeline development, stream processing (Kafka, Spark, Flink), cloud infrastructure (AWS, GCP), Kubernetes, Linux, DevOps automation, data quality monitoring
Preferred skills
Data science tool familiarity (Jupyter, Pandas, Scikit-learn, Dask, PyTorch, MLFlow, Kubeflow), Java, Maven, Rust, TCP/IP
Technologies
Airflow, AWS, Redshift, Cloud, DevOps, EC2, ETL, Flink, IAM, Jupyter, Kafka, Kubeflow, Kubernetes, Linux, MySQL, PostgreSQL, PyTorch, Python, SQL, Snowflake, Spark, pandas
Responsibilities
Develop and manage processes utilizing public cloud infrastructure, Kafka, databases, and containers; Create and maintain ETL pipelines to integrate data, define schemas, build DAG processing pipelines, and monitor data quality; Oversee and operate mission-critical production services.
Seniority
Mid-level (2-5 years experience), hands-on IC