Data Engineer III Job Vacancy in Securonix, Inc. Bengaluru, Karnataka – Updated today

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Full Details :
Company Name : Securonix, Inc.
Location : Bengaluru, Karnataka
Position :

Job Description : Description
Job Description
Securonix provides the Next Generation Security and Information Event Management (SIEM) solution. As a recognized leader in the SIEM industry, Securonix helps some of the largest organizations globally to detect sophisticated cyberattacks and rapidly respond to these attacks within minutes. With the Securonix SNYPR platform, organizations can collect billions of events each day and analyze them in near real time to detect advanced persistent threats (APTs), insider threats, privilege account misuses and online fraud.
Securonix pioneered the User and Entity Behavior Analytics (UEBA) market and holds patents in the use of behavioral algorithms to detect malicious activities. The Securonix SNYPR platform is built on big data Hadoop technologies and is infinitely scalable. Our platform is used by some of the largest organizations in the financial, healthcare, pharmaceutical, manufacturing, and federal sectors.
Summary
The Data Engineer position is an integral part of our Professional Services team. In this role, you will work with our customer(s) on supporting Data source onboarding and Data Validation for the onboarded datasources.
The Data Engineer will support our software developers, SIEM engineers, Connectors Team,data analysts and work with the Threat Lab data scientists on data parsing, use case delivery and will ensure optimal delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The hire will be responsible for analyzing the data and implementing the use cases per standard frame works.The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation SIEM (Security Information and Event Management).
Primary Responsibility:
End to end development of supported/Non supported data sources.
Data validation for any supported data sources and Providing the Data Validation Reports.
Providing Events of Interest for all Data Sources which are integrating with SIEM.
Analysing the Customer’s data and recommending Logging Levels before we ingest into SIEM Platform.
Content validation for all the out-of-the-box use cases and threat models.
Develop content, use cases, data models, dashboards, and connectors to support custom user requirements.
Troubleshooting end to end network and infrastructure issues during data onboarding.
Validation of supported dashboards and 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.

Minimum Requirements:
Solid experience in regex implementation and parser creation (must have).
Intermediate Knowledge on Linux (must have).
Knowledge on Syslog and Rsyslog Data Forwarding and Troubleshooting(must have).
Experience in Usecase Development & Fine-Tuning. (must have).
Experience on NXlog Setup and Data Forwarding.
Data Analysis of Security Devices like (Firewall/DLP/Proxy/AV/Email Security etc).
Familiar in integration of Windows, Linux & Security Devices.
Familiar experience on Cloud Implementations and Log Analysis.
Knowledge on API Mechanism to be used for Cloud integrations.
Troubleshooting the API Connectivities using POSTMAN Collection.
Intermediate working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Intermediate analytic skills related to working with structured and unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Strong working knowledge of parser management, stream processing, and highly scalable ‘big data’ data stores.
Strong understanding of SIEM solutions such as Splunk, Qradar, ArcSight, Logrhythm and Exabeam.
Good Understanding of Security Concepts like CIA,Attack Vector,Cyber Kill Chain,Attack Types & Mitigation.
Understanding of MITRE Framework and SOAR.
Experience supporting and working with cross-functional teams in a dynamic environment.
Knowledge on Networking OSI, Protocols and Layer Based Attacks.
4+ years of experience in Data Engineering with a Bachelor’ s degree in Computer Science, Information Systems or Cyber Security field.
4+ years of hands-on working experience in SIEM solutions.
Minimum 2+ years of experience in UEBA deployment.
Intermediate experience with relational SQL databases and understanding of object oriented Programming.
Preferred Requirements:
Strong Knowledge of Creating Regex for Unstructured Data Formats.
Developing Content and Use-cases based on Data Set.
Experience with MYSQL databases.
Knowledge of Linux,RHEL & Cent-OS, Windows etc.
Experience with object-oriented/object function scripting languages (1 of the following): Python, Java, Bash.
Experience with big data tools: Hadoop, Spark, Kafka, etc.
CEH/ECSA certified, or any certification related to SIEM / UEBA deployment.
Working knowledge of cloud technologies such as Amazon, Azure and Google.
Good understanding of log collection and forwarding technologies such as Syslog-NG, rsyslog, Nxlog, Windows Event Forwarding.
Experience integrating endpoint security and host-based intrusion detection solutions.
Experience with networking technologies such as Wireshark, PCAP, tcpdump.

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