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Data
Architecture
:
Design, build and management
of realtime, near realtime and batch data architectures that support threat
detection, incident response and reporting through advanced analytics, machine
learning and GenAI capabilities
.
Data
Integration and Transformation
: Implement and manage the automated frameworks
for integrating data from various security sources into the security data lake.
Also, the data transformation frameworks to move data between the raw, trusted,
and curated data layers.
Coding
: Contribute
to raising the quality bar of the team's codebase by producing high-quality
code, conducting thorough peer reviews, and proactively providing constructive
feedback to other team members on their code
Automation
and DevOps
: Implement various automations and DevOps practices to
streamline the deployment, configuration, and management of data platform
components.
Collaboration and
Communication
: Collaborate with teams from
various departments, effectively communicating technical concepts and solutions
to individuals with different levels of technical expertise.
Solid programming experience with programming languages
like Python along with proficiency in SQL
Experience building data platforms on cloud services like
Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink
etc.,
Solid grasp of Kubernetes, CI/CD and Terraform
Working knowledge of ETL and ELT frameworks and
orchestration tools like Airflow and dbt
Ability to provide clear input, guide, empower junior
members of the team to achieve desired outcomes
Familiarity with machine learning and AI tools is desirable
Knowledge of cybersecurity principles and practicesSimilar jobs
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