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Big data expert
SEITEQ s.r.o.
Bratislava, Slovakia (Job with occasional home office)
full-time
4 000 EUR/month* 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).
Information about the position
Job description, responsibilities and duties
A key component of 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
Employee perks, benefits
Health & well-being
- BenefitPlus
- Healthcare (check-ups/annual programs)
- Multisport card
- Travel card "električenka"
- Supplementary pension saving
- Sick days
- Marriage allowance
- Childbirth allowance
- Parental contribution
- family events
- Refreshments in the office (fruits, coffee, soft drinks)
- Let´s get together breakfast
- Activity room, quiet room
- teambuildings
- Loyalty allowance
- Loyalty extra days off
- Loyalty cake
- Loyalty glass award
- Refer a friend
- Christmas presents
- Discounts from external providers
Company on whose behalf the position is being filled
A software company that is represented in more than 200 countries of the world.
Requirements for the employee
Candidates with education suit the position
University education (Master's degree)
Postgraduate (Doctorate)
Language skills
Personality 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.
Advertiser
Brief description of the company
Outsourcing
Software development
The company is a holder of a licence to offer recruitment services.