Primary Responsibility:
- 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 experience in regex implementation and parser creation (must have)
- 1-3 years or more of hands-on working experience in engineering development and SIEM solution deployment.
- 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 we'll 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.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Strong working knowledge of parser management, stream processing, and highly scalable big data data stores.
- Strong product management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- 1-3 years experience in the Data Engineering, who has attained a Graduate (Masters) degree in Computer Science, Information Systems or Cyber Security field OR 3+ years of experience in the Data Engineering with a Bachelors degree in Computer Science, Information Systems or Cyber Security field
They should also have experience using the following software/tools:
- Experience with relational SQL databases
- Experience with object-oriented/object function scripting languages (1 of the following): Python, Java or Bash scripting.
- SVN / Git or any version control tool
Preferred:
- Experience with NoSQL databases - REDIS.
- Experience with object-oriented/object function scripting languages (1 of the following): Python, Java, Bash.
- Experience with big data tools: Hadoop, Spark, Kafka, etc
- CISSP / CEH certified or any certification related to SIEM / UEBA deployment
- Leadership certification and/or awards attained for leadership skills
- 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
Benefits
- Health Insurance with a total sum insured is INR 5,00,000
- Coverage: Self, Spouse, 2 kids, Dependent parents, or parents-in-law
- Personal Accident with total sum insured is INR 10,00,000
- Term Life Insurance with a sum assured for employees is 5 times fixed base pay is covered.