Design, build and launch extremely efficient & reliable ETL process ( using Python, AWS and Redshift ) to integrate data sources from internal and external data providers into the company Data Warehouse.
As a data engineer at a state of the art cyber security company you will directly impact the product by working in collaboration with the data science team to help build complex malware detection models.
In this role, the selected candidate will gather and understand data requirements, present to product engineers and work in the context of the larger team to achieve high quality data ingestion and validation goals.
In this role, you will be responsible to develop SQL and SAS queries to extract data for analysis and model construction. Perform exploratory data analysis to develop hypotheses for causes of bad debt.
This role is responsible for designing, building and tuning log storage solutions that support a variety of security intelligence tools. Testing, monitoring, and alerting of a distributed storage systems.
In this role, the selected candidate must have an experience in Parallel framework and should have worked at least six months in Datastage 9.1; should have strong experience in creating complex dashboard using Dashboard/Xcelsius tool.