Description

Key responsibilities

• Design, build and maintain ELT/ETL pipelines and orchestration for analytics and actuarial workloads.
• Manage data warehouse/lake models, data quality, lineage and observability.
• Automate deployment, monitoring and incident response for data platforms (DataOps).
• Support analysts and actuaries with reliable, well-documented datasets.

Skills

• Python  •  SQL  •  AWS
• Advanced SQL and data modeling; Python for pipeline and automation work; AWS data stack (S3, Glue, Redshift/RDS, Lambda, Step Functions).
• dbt, Airflow, Snowflake/Databricks, Spark.
• CI/CD for data and infrastructure-as-code.
• Data governance / HIPAA-aligned handling of PHI

Key Skills

Education

Bachelor’s degree