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  • Posted: Sep 24, 2025
    Deadline: Not specified
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  • At TeKnowledge, we turn complexity into clarity – and potential into progress. We go beyond problem-solving to transform how you grow. By blending cutting-edge technology with expert insight, we help enterprises, governments and tech vendors tackle their biggest challenges while preparing them for what’s next. From strategy to execution, we drive smarter...
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    Security Monitoring and Triage Specialist

    Req ID: 16972

    About the Job

    • We're seeking a Security Monitoring and Triage Specialist to strengthen our Security Operations Center (SOC) by detecting, analyzing, and prioritizing security incidents in real-time.
    • This role is critical to ensuring that threats are identified quickly, false positives are minimized, and high-priority alerts are escalated for immediate response.
    • The ideal candidate will be highly skilled in KQL, SIEM platforms, and proactive threat hunting.
    • At TeKnowledge, your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity.
    • We turn complexity into clarity and potential into progress—in a place where people lead and tech empowers.
    • You’ll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do.
    • We push boundaries, using advanced technologies to solve complex challenges for clients around the world.
    • Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career development—ensuring you stay ahead in an ever-evolving world.
    • We’re looking for innovators, problem-solvers, and experts ready to drive change and grow with us.

    Responsibilities

    • Monitor security events across enterprise systems in real time.
    • Detect, analyze, and prioritize security incidents to ensure timely response.
    • Identify false positives and escalate high-priority threats to the incident response team.
    • Conduct proactive threat hunting to identify hidden risks and vulnerabilities.
    • Tune and optimize SIEM rules to improve detection accuracy and reduce noise.
    • Collaborate with SOC analysts, incident responders, and other security teams to resolve security issues.
    • Document findings and provide input for continuous improvement of monitoring and triage processes.

    Qualifications
    Education & Certifications:

    • 3-year IT-related degree (mandatory).
    • SC-401 and CompTIA CySA+ certifications (required).

    Experience:

    • 5–10 years’ experience working in a Security Operations Center (SOC) with a focus on threat hunting and validation.
    • Strong hands-on expertise with SIEM platforms and KQL (Kusto Query Language).
    • Proven ability to triage incidents effectively and escalate critical threats.

    Core Skills & Competencies:

    • Deep understanding of SOC operations, detection engineering, and threat analysis.
    • Strong analytical and problem-solving skills with the ability to differentiate between real threats and false positives.
    • Excellent communication and collaboration skills to work with cross-functional teams.
    • Ability to thrive in a fast-paced environment and make quick, accurate decisions under pressure.

    Why You’ll Enjoy It Here

    • Be Part of Something Big – A growing company where your contributions matter.
    • Make an Immediate Impact – Support groundbreaking technologies with real-world results.
    • Work on Cutting-Edge Tech – AI, cybersecurity, and next-gen digital solutions.
    • Thrive in an Inclusive Team – A culture built on trust, collaboration, and respect.
    • We Care – Integrity, empathy, and purpose guide every decision.

    go to method of application »

    Manager, Data Engineer

    Req ID: 16946

    About the Job

    • We're seeking an experienced Manager: Data Engineer to lead the design, development, and maintenance of scalable and reliable data pipelines that power our enterprise data platforms.
    • In this role, you will manage a team of data engineers, ensure data quality and governance are embedded in every solution, and collaborate with architecture, governance, and analytics teams to deliver high-quality, trusted data products.
    • You will play a key role in optimizing data ingestion, transformation, and storage while staying ahead of evolving technologies and best practices.
    • At TeKnowledge, your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity.
    • We turn complexity into clarity and potential into progress—in a place where people lead and tech empowers.
    • You’ll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world.

    Responsibilities

    • Design, develop, and maintain scalable, reliable data pipelines and integration workflows across multiple systems.
    • Lead a team of data engineers to build and support enterprise-grade data platforms.
    • Ensure data quality, lineage, and governance are embedded in engineering solutions.
    • Optimize data ingestion, transformation, and storage in cloud and hybrid environments.
    • Collaborate with architecture, governance, and analytics teams to ensure alignment with business needs and platform strategy.
    • Stay current with evolving data engineering best practices and emerging technologies.

    Qualifications
    Education:

    • Bachelor’s Degree in Computer Science, Information Systems, Software Engineering, or related field.
    • Master’s degree in Data Engineering or Big Data (preferred but not required).

    Experience:

    • 6–10 years of experience in data engineering, ETL development, or data warehousing.
    • Minimum of 2 years in a team lead or managerial capacity.
    • Hands-on experience building and maintaining data pipelines, preferably in Fintech, Banking, or high-volume transactional environments.
    • Deep knowledge of data lakehouse architecture, real-time streaming, and batch processing systems.
    • Proven ability to collaborate with data scientists, analysts, and product teams to deliver trusted, high-quality data products.

    Preferred Certifications:

    • Google Cloud Professional Data Engineer, AWS Certified Data Analytics, or Microsoft Azure Data Engineer Associate.
    • Apache Spark or Kafka certifications.

    Why You’ll Enjoy It Here

    • Be Part of Something Big – A growing company where your contributions matter.
    • Make an Immediate Impact – Support groundbreaking technologies with real-world results.
    • Work on Cutting-Edge Tech – AI, cybersecurity, and next-gen digital solutions.
    • Thrive in an Inclusive Team – A culture built on trust, collaboration, and respect.
    • We Care – Integrity, empathy, and purpose guide every decision.

    Method of Application

    Use the link(s) below to apply on company website.

     

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