Business Intelligence Specialist

Business Intelligence (BI): strong command of data modeling and data architecture (STG, ODS, DWH, DM), as well as data processing tools (ETL), in particular Talend;

Data pipelines: experience with Apache Airflow for data flow orchestration;

Relational databases: solid knowledge of MS SQL and PostgreSQL;

Data integration: ability to collect heterogeneous data from multiple sources (REST/SOAP APIs, file systems, web scraping, etc.);

Programming languages: proficiency in Python and Java;

Data visualization: use of QlikView to create dashboards and interactive reports;

Data observability: familiarity with tools such as ELK (Elasticsearch, Logstash, Kibana) and Splunk;

Data quality: knowledge of the Great Expectations platform (greatexpectations.io) for data validation and quality control.