Mid/Senior Data Engineer (Risk and Finance Reporting)
Core
Design, implement, and optimize scalable data architectures, pipelines, and systems for risk and finance reporting integration.
Role type
Mid/Senior Data Engineer (Risk and Finance Reporting)
Builds
Data ingestion, processing, storage, and sharing systems for regulatory reporting
Domain
Banking / Financial Services / Risk and Finance Reporting
Required skills
SQL, Python, ETL/ELT pipeline development, Cloud platforms (AWS/Azure/GCP), Container orchestration (Kubernetes/Docker), Streaming data platforms (Kafka/Spark/Flink), Data warehousing (Snowflake/BigQuery/Redshift), Data quality and security practices
Preferred skills
Financial industry experience, Real-time solution integrations, Test automation, DevOps practices, Infrastructure as code
Technologies
SQL, Python, Kafka, Spark, Flink, Airflow, dbt, Snowflake, BigQuery, Redshift, AWS, Azure, GCP, Kubernetes, Docker
Responsibilities
Design and implement data ingestion, processing, and storage systems; Build and optimize data architectures for performance and scalability; Develop and maintain ETL/ELT pipelines; Ensure system integration and synchronization; Uphold data quality, security, and performance standards; Collaborate with stakeholders to deliver data solutions; Implement monitoring and alerting for data workflows
Seniority
Mid/Senior, hands-on IC
