Data Engineer-Conversational Analytics

MUNKAVÉGZÉS HELYE 1112 Budapest, Boldizsár utca 2. TEVÉKENYSÉGI TERÜLET IT MUNKAVÉGZÉS KEZDETE Megegyezés szerint FOGLALKOZTATÁS MÉRTÉKE Teljes munkaidő megállapodás szerint .profile_item { list-style-type: none !important; } .profile_heading { font-weight: bold; } .profile_content { padding-bottom: 0.5rem; } .profile_section:has(.profile_item:empty) { display: none; } 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 Privacy notice