Infotree Global Solutions
1001 - 5000 employees
Founded 2002
🎯 Recruiter
👥 HR Tech
🏢 Enterprise
Recruitment • HR Tech • Enterprise
Infotree Global Solutions is a staffing and workforce management company that aims to meet the career needs of individuals while ensuring client satisfaction through its resources. It is heavily focused on recruitment and consultant care, providing opportunities across various industries such as automotive, engineering, IT, finance, and banking. Founded in 2002, Infotree Global Solutions operates globally, with more than 5,000 coworkers and 400 recruiters in 150 countries. The company is committed to delivering quality placements that lead to lifelong careers, supported by a dedicated team of recruiters and consultant care representatives.
Azure Data Engineer
Job not on LinkedIn
🕒 April 29
🗣️🇵🇱 Polish Required
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Infotree Global Solutions
1001 - 5000 employees
Founded 2002
🎯 Recruiter
👥 HR Tech
🏢 Enterprise
Recruitment • HR Tech • Enterprise
Infotree Global Solutions is a staffing and workforce management company that aims to meet the career needs of individuals while ensuring client satisfaction through its resources. It is heavily focused on recruitment and consultant care, providing opportunities across various industries such as automotive, engineering, IT, finance, and banking. Founded in 2002, Infotree Global Solutions operates globally, with more than 5,000 coworkers and 400 recruiters in 150 countries. The company is committed to delivering quality placements that lead to lifelong careers, supported by a dedicated team of recruiters and consultant care representatives.
📋 Description
• Projektowanie i rozwój pipeline’ów danych oraz rozwiązań przetwarzania danych w oparciu o Azure Databricks i Python • Budowa i utrzymanie rozwiązań na platformie Azure Data (Data Lake, Data Factory, Synapse) • Tworzenie i rozwój Data Products oraz zarządzanie nimi (Unity Catalog) • Współpraca z biznesem — zbieranie wymagań i przekładanie ich na rozwiązania techniczne • Dbanie o jakość danych, bezpieczeństwo oraz zgodność z wymaganiami • Integracja rozwiązań danych z innymi systemami w organizacji • Usprawnianie wydajności, skalowalności i kosztów rozwiązań
🎯 Requirements
• Bardzo dobra znajomość: Azure Databricks • Python • Apache Spark • Doświadczenie z usługami Azure: Data Lake (ADLS Gen2), Data Factory / Synapse • Znajomość API (REST lub podobne) • Doświadczenie w projektowaniu ETL oraz modelowaniu danych • Podstawowa znajomość architektury danych • Doświadczenie z CI/CD i Git • Umiejętność rozwiązywania problemów i pracy w metodykach Agile • Dobre umiejętności komunikacyjne (współpraca z biznesem i zespołami technicznymi)
🏖️ Benefits
• Brak informacji o benefitach
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