A
Accelerant
Posted 32 days agoVerified live 1d ago
Data Engineer
Brief overview
Remote
2+ yrsMinimum
AWSSnowflakeSQLPythonDataOpsAIMachine LearningData Warehouse DevelopmentReal-time Data IngestionBatch Data IngestionStructured Data HandlingUnstructured Data Handling
Job description
Summary
Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. They are seeking a forward-thinking Data Engineer to join their dynamic team, responsible for constructing and optimizing their robust data platform that drives their SaaS platform and internal analytics.
Responsibilities
- Analyse and ingest new datasets from varied sources
- Design, build, and support cloud infrastructure
- Design, build, and support AI and ML processes and infrastructure
- Design and build modern, metadata driven data pipelines and data streams
- Design and build data service APIs
- Transform and cleanse complex datasets
- Analyse current business practices, processes and procedures
- Implement effective metrics and monitoring processes
- A commitment to learning and sharing knowledge
Skills
- 2 or more years' experience working as a Data Engineer
- Experience of developing in AWS
- Snowflake
- SQL
- Python
- Experience with DataOps methodologies, tools, and processes
- Dbt
- Experience handling structured and unstructured datasets
- Experience in AI and Machine Learning
- Experienced in real-time and batch mode data ingestion
- Experience in Data Warehouse development
- General P&C Insurance business knowledge
Qualifications
Must Haves
- 2 or more years' experience working as a Data Engineer
- Experience of developing in AWS
- Snowflake
- SQL
- Python
- Experience with DataOps methodologies, tools, and processes
Nice to Haves
- dbt
- Experience handling structured and unstructured datasets
- Experience in AI and Machine Learning
- Experienced in real-time and batch mode data ingestion
- Experience in Data Warehouse development
- General P&C Insurance business knowledge
