BIG DATA EXPERT FOR ESET PROTECT PLATFORM

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.
., 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.
Employee perks, benefits • please visit our website.
https://www.
set.
om/sk/o-nas/kariera/benefity/ Basic wage component (brutto).
from  EUR *   The final basic wage component   can be increased   accordingly to individual skills and experience of the selected candidate.
* Performance bonus 2 times per year up to 20% of the basic salary paid for the evaluation period(usually 6 months).
Benefits Health & well-being BenefitPlus Healthcare (check-ups/annual programs) Multisport card Travel card "električenka" Supplementary pension saving Sick days Family Marriage allowance Childbirth allowance Parental contribution ESET family events (Family day, St.
icholas) Office Refreshments in the office (fruits, coffee, soft drinks) Let´s get together breakfast Activity room, quiet room ESET events (Žranica, Christmas party..), teambuildings Other Loyalty allowance Loyalty extra days off Loyalty cake Loyalty glass award Refer a friend Christmas presents Discounts from external providers Primary location Žilina Additional locations Time type Full time