Associate Security Content Engineer - Intern

Securonix Consultancy

0 - 1 years

0 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

ab initio metadata project management python data analysis data management oracle version control business analysis data warehousing svn root cause analysis sql salesforce data quality git data governance data structures big data etl unix

Work Mode

Work from Office

Job Type

Internship

Job Description

Implement/develop out-of-the-box parsers/connectors and responsible for net new development of parsers including enhanced categorizations and use cases.

Data validation program for supported data sources and responsible for quality assurance
Content validation for all the out-of-the-box use cases and threat models
Implementation, validation of supported dashboards / reports and net new development of custom dashboards/reports
Coordinate with product management & engineering for troubleshooting connector integration issues for various products
Work with data and analytics experts from Securonix Threat Labs to strive for greater functionality in our data systems and streamline supported data parsing and use case configurations
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Minimum Requirements:

Strong knowledge in regex implementation and parser creation

Good amount of experience in SVN, Git or any other version control tool (must have).

Intermediate working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working with a variety of databases.
Experience building and optimizing big data data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with structured and unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.

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