Cybersecurity – DLP – Malaysia

Description:

Primary skills: Microsoft Purview SME with IRM (Information Rights Management) experience, Power Bi knowledge, Splunk Knowledge

Secondary skills: Databricks

Responsibilities:-

Microsoft Purview Insider Risk Management (IRM) – must have

1) Monitor and help draft the policies and use cases to be onboarded and uploaded to Microsoft Purview Insider Risk Management (IRM) platform. Create policies with customisable templates on IRM platform.

2) Explore features on enabling adaptive protection and data connectors to enhance the insights obtained from IRM.

3) Explore how the insights from Purview IRM can be leveraged to drive Collaborate on investigations – Work with teams across security, human resources, and legal departments with integrated investigation workflows.

4) Manage and be the SME for the Insider Risk management settings including detection groups, priority user groups, policy indicators etc. Learn about Insider Risk Management settings | Microsoft Learn

5) Build, maintain and develop the policy template requirements relating to departing users, risky users, security policy violations. Plan for Insider Risk Management | Microsoft Learn

6) Provide insights from Purview IRM for escalated cases.

Splunk (must have)

1) Support incident detection, investigation and response through Splunk Dashboards

2) Develop and maintain Splunk dashboards, alerts and reports for monitoring

PowerBI (must have)

1) Design, develop and publish interactive dashboards and reports under PowerBI

2) Connect Power BI to Databricks and other data sources for live analytics

3 Work with business stakeholders to translate requirements into visual insights

Databricks (good to have)

1) Use Databricks notebooks to extract, transform, and clean large datasets from multiple sources.
Apply PySpark or SQL within Databricks to handle missing values, standardize formats, and prepare data for analysis or modelling.

2) Write efficient SQL queries and analytical expressions in Databricks to generate insights and reports.
Build and optimize data pipelines to support dashboards, KPIs, and ad-hoc business analysis.