logo inner

Security Content Engineer (Data Engineering)

SecuronixBengaluru, India | KarnatakaHybrid, Onsite

At Securonix, we’re on a mission to secure the world by staying ahead of cyber threats, reinforcing all layers of our platform with AI capabilities. Our
Securonix Unified Defense SIEM provides organizations with the first and only AI-Reinforced solution built with a cybersecurity mesh architecture on a highly scalable data cloud. Enhanced by Securonix EON’s AI capabilities, our innovative cloud-native solution delivers a seamless CyberOps experience, empowering organizations to scale their security operations and keep up with evolving threats. Recognized as afive-time leader in the Gartner Magic Quadrant for SIEM and highly rated on Gartner Peer Insights, our award-winning Unified Defense SIEM provides organizations with 365 days of ‘hot’ data for rapid search and investigation, threat content-as-a-service, proactive defense through continuous peer and partner collaboration, and a fully integrated Threat Detection, Investigation, and Response (TDIR) experience—all within a single platform.

Built on a cloud-native architecture, the platform leverages the Snowflake Data Cloud for unparalleled scalability and performance.Securonix is proud to be a cybersecurity unicornand featured in CRN's 2024 Security 100 list. Backed by Vista Equity Partners, one of the largest private equity firms with over $100 billion in assets under management, we have a unique advantage in driving innovation and growth. With a global footprint, we serve more than1,000 customersworldwide, including 10% of the Fortune 100. Our network of 150+ partners and Managed Security Service Providers (MSSPs) enables us to deliver unmatched security solutions on a global scale.At Securonix, we are driven by our core values and place our people at the heart of everything we do:

  • Winning as One Team: We work together with universal respect to achieve aligned outcomes
  • Customer Driven Innovation: We innovate to stay ahead of the market and create value for our customers
  • Agility in Action: We embrace change and are unified in our purpose and objectives amidst change

Join us as we redefine cybersecurity, innovate fearlessly, and grow together as one team.Role Summary:We are looking for a savvy Data Engineer to join our growing team of analytics experts with hands-on experience to work on cutting edge technology. The hire will be responsible for expanding and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams which will impact the overall UEBA (User Entity Behavior Analytics) use cases. An ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems & building them from the ground up and will be responsible for out-of-the-box threat use case delivery.

The Data Engineer will support our software developers, SIEM engineers, 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 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:

  • 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)
  • 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 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.
  • 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 Bachelor's 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 - As a full-time employee with Securonix, you will be eligible for the following employee benefits:

  • Health Insurance with a total sum insured is INR 7,50,000
  • 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.

Securonix, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. Securonix complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation and training.Securonix expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Securonix employees to perform their expected job duties is absolutely not tolerated.

Life at Securonix

Securonix is redefining the next generation of cyber-threat detection using the power of machine learning and big data. Our purpose-built security analytics solution uses machine learning to track and create baselines of user, account, and system behavior and detects the most advanced insider threats, cyber threats, and fraud activities in real time. Securonix extends threat detection with threat-hunting and automated incident response. SOC analysts can hunt across data sources, and respond with pre-built, automated playbooks. Globally, customers use Securonix to address their insider threat, cyber threat, cloud security, fraud, and application security monitoring requirements. Securonix security analytics delivers real-time threat analysis and detection, log search, threat hunting and attack investigation via Spotter, and comprehensive case/workflow management for end-to-end security management. The solution also provides out-of-the-box integrations with existing security products. Securonix Data Lake, Next-Gen SIEM and UEBA products are offered as on-premise enterprise software or delivered via the cloud. Securonix is architected on a Hadoop big data infrastructure stack that optimizes data ingestion, context enrichment, real-time processing, and storage across separate components enabling efficient mass-scaling for large enterprises. This architecture is coupled with a new UI that realizes massive improvements in large deployments, and allows you to ingest and analyze large amounts of machine data in real-time. Securonix's Hadoop stack allows for a Google-like search at massive scale. With Hadoop clustering, SOC analysts can perform data analysis at internet-scale instantaneously, and also leverage log-searching for over 600 different commercial security, network, and application products. Securonix is privately funded by Volition Capital. Follow us on Facebook, Twitter, and LinkedIn.
Thrive Here & What We Value1. Equal Employment Opportunities (EEO)2. Nondiscrimination in employment compliance3. Prohibition of unlawful employee harassment4. No unsolicited headhunter and agency submissions for candidates5. Prior agreement required for payment to third-party agencies6. Team-oriented culture with a focus on collaboration7. Mission-first attitude8. Astute communication skills9. Critical thinking abilities10. Problem-solving capabilities

Related Sub

This job belongs to these sub. Explore related roles here:
Your tracker settings

We use cookies and similar methods to recognize visitors and remember their preferences. We also use them to measure ad campaign effectiveness, target ads and analyze site traffic. To learn more about these methods, including how to disable them, view our Cookie Policy or Privacy Policy.

By tapping `Accept`, you consent to the use of these methods by us and third parties. You can always change your tracker preferences by visiting our Cookie Policy.

logo innerThatStartupJob
Discover the best startup and their job positions, all in one place.
Copyright © 2025