Description
We are searching for an experienced Data Engineer to leverage data and innovate capabilities to create effective and proactive security measures as well as enabling data driven business decisions.
Key Responsibilities:
- Designing and implementing data pipelines and data buses that will collect data from disparate sources across the enterprise, and from external sources, transport said data, and deliver it to the data warehouses and data lakes
- Using both advanced data manipulation tools and programmatically manipulating data throughout our data flows, ensuring such data is available at each stage in the data flow, and in the form needed for each system, service, and customer along said data flow.
- Working within the regulatory, and system requirements, to ensure data quality, data security, data compliance needs are met
- Creating innovative data driven capabilities and prototypes that push the bounds of computer security analytics.
Essential Skills & Experience:
- A strong background in data engineering, with experience in deploying complex cloud data and big data systems
- Experience designing, building, and maintaining data pipelines and ETL workflows across disparate data set
- Experience with common data engineering tooling such as Azure Data Factory, Azure Databricks, Azure functions, Azure Logic App, Azure Monitor, Azure Log Analytics, Azure Data Lake Store, S3, Synapse Analytics and/or PowerBI
- Advanced understanding of data transport, data pipelining, data cleaning, and data quality methods
- An understanding of Cyber Security principles would be advantageous but not essential
To arrange an initial interview please apply today.