About this role
- MUNKAVÉGZÉS HELYE
- 1112 Budapest, Boldizsár utca 2.
- TEVÉKENYSÉGI TERÜLET
- IT
- MUNKAVÉGZÉS KEZDETE
- Megegyezés szerint
- FOGLALKOZTATÁS MÉRTÉKE
- Teljes munkaidő
megállapodás szerint
My responsibilities:
- Provide trusted data for conversational analytics, including a semantic layer, metric definitions, and a business glossary that text-to-SQL questions can use
- Maintain, develop, and optimize the data layer of AI us cases in the global data lake environment, ensuring high data quality, reliability, and overall performance
- Design and implement high-performance data processing pipelines and workflows utilizing Python, Spark, and Databricks
- Manage scalable and efficient data integration and processing solutions using Databricks
- Establish robust data management processes and execute advanced data querying and quality control with SQL and big data technologies
- Automate operational tasks and support infrastructure maintenance by leveraging shell scripting and foundational UNIX knowledge
- Support data modelling initiatives for coherent structure design and document all technical processes to ensure operational continuity
The knowledge I own:
- Strong background and understanding of database data management (general SQL knowledge, data querying, data quality control)
- Strong programming knowledge in Python (pyspark)
- Advanced level Big Data / data lake framework (Spark, Databricks)
- Strong cloud knowledge and handling of Databricks
- Basic familiarity with UNIX operating system, especially shell scripting
- Basic understanding of network level problems and connectivity requirements
- Basic understanding of data modelling principles and semantic layers (metric definitions, business glossaries) for conversational analytics
- Data-centric mindset
- Structured, analytical thinking
- Strong communication skills
- Well-organized
The offer that would convince me:
- A constantly growing organization and increasing opportunities
- Secure, long-term job opportunity
- Varied and engaging job responsibilities
- The chance to build data products used by colleagues across the international organization
- Outstanding salary
- Flexible work arrangements
- Home office possibility
Online application:
Please use our online application and attach your resume.
AIIS Adatkezelési tájékoztató
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