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Big data expert for ESET PROTECT Platform

Arbeitsort:
Arbeitszeit: Vollzeit
Vertragsdauer: Befristet

Summary

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.

Job description

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.

Benefits:

• Support in personal and professional development - opportunities to attend various trainings, courses, conferences or meetups

• Attractive financial bonus paid twice a year based on your performance

• Financial support in case of life milestones (wedding, childbirth)

• Complementary retirement savings contributions

• Fully covered 170 CZK/per day meal vouchers

• Transportation benefit

• Refer a friend" benefit - the opportunity to receive a financial bonus when referring a friend for an open vacancy

• Available home-office or remore work

• Fully-paid 3 sickdays

• Mind’n’Soul Program - free helpline and counselling in personal and professional development

• Sport activities support