Big data expert for Eset Protect Platform

We are developing a cutting-edge XDR solution that can provide comprehensive and proactive security across multiple domains, such as endpoint, cloud, email, identity and network.

A key component of our XDR solution is the data storage that can store and process low-level events from various sources of security data.

To build and maintain this data storage, we need a Big Data expert who can:

• Design and implement scalable, high-performance, secure data pipelines and platforms using cloud-based technologies and services
• Enable advanced analytics on large volumes of security data using data warehousing and data modeling techniques
• Assure acceptable cost for storing and processing of large amount of data

Requirements and skills:

• Educational Background: A bachelor's or preferably a master's degree in a related field such as Computer Science, Data Science, Information Technology, Statistics, or Engineering
• Technical Skills: Proficiency in a variety of technical areas related to big data processing and analytics, including:
• Streaming and Big Data Technologies: Expertise in working with distributed streaming and computing frameworks such as Apache Kafka, Apache Flink, Hadoop, Apache Spark, and related tools like HDFS (Hadoop Distributed File System).
• Data Querying Languages: Strong knowledge of SQL and NoSQL databases (e.g., MongoDB, Cassandra, HBase) to handle structured and unstructured data.
• Search and Analytics engines: Expertise with analytics suits like OpenSearch, Elasticsearch
• Cloud Computing: Experience with Big Data platforms in AWS or Azure for deploying and managing a large scaled and distributed solutions in the cloud (platforms like AWS EMR, Azure HDInsight, Cloudera; technologies around Kubernetes, Terraform/Ansible).
• Programming Languages: Proficiency in programming languages like Python, Java.
• Data Warehousing: Understanding of data warehousing concepts.
• Data Management: Ability to design and implement data architecture, data modeling, data integration, data governance, and data quality processes.
• Experience with Big Data Ecosystem: Hands-on experience with managing and processing large volumes of data, including data ingestion, storage, processing, and analysis.
• Problem-Solving Skills: Strong analytical and problem-solving abilities to extract meaningful insights from complex datasets and make data-driven decisions.
• Statistical Knowledge: Familiarity with statistical methods and tools for hypothesis testing, regression analysis, and other statistical techniques used in data analysis.
• Data Security and Privacy: Awareness of data security best practices, data privacy regulations, and the ability to implement appropriate measures to safeguard sensitive information.
• Communication Skills: Excellent verbal and written communication skills to effectively convey complex technical concepts to non-technical stakeholders.
• Teamwork and Collaboration: The ability to work collaboratively with cross-functional teams, including data engineers, data scientists, business analysts, and stakeholders.

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