Data Engineer
Core
Design, build, and support scalable data pipelines, integrations, data models, and reporting solutions to create accessible and reliable data products for the business.
Role type
Mid-level IC data engineer (cloud data platform)
Builds
Modern data platform including pipelines, integrations, data models, analytical marts, and reporting marts
Domain
Fund administration and middle office solutions / Cloud data engineering
Required skills
Snowflake, Databricks, dbt, AWS Glue, Azure Data Factory, Apache Airflow, SQL, Python, Kafka, RabbitMQ, AWS Lambda, Azure Functions
Preferred skills
AWS Lake Formation, Azure Data Lake, AWS Athena, Azure Data Lake Analytics, AWS Step Functions, Azure Logic Apps, Camunda, Power BI, Amazon QuickSight, Git, CI/CD
Technologies
Snowflake, Databricks, AWS, Azure, dbt, Apache Airflow, Kafka, RabbitMQ, Power BI, QuickSight
Responsibilities
Design and build data pipelines and integrations; Collaborate with stakeholders to clarify data requirements; Develop and maintain data APIs; Document and support data platform components; Provide guidance to downstream data consumers
Seniority
Mid-level, hands-on IC
