pythondata engineeringanalyticsazureetlbusiness intelligencedatabrickssql serverdata marts
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный фокус на data engineering, современные инструменты и конкретные возможности развития, но работа над клиентскими проектами может давать меньше стабильности, чем в продуктовой компании.
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Работа с клиентамиСовременный стекПоддержка развитияГибкий график
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Databricks) (Business Analytics): Designing and developing data engineering solutions, ETL processes, and Data Marts for Business Intelligence projects with an accent on Azure Databricks, Python, SQL Server, and data modeling. Focus on processing and analyzing data, building relational and dimensional models, and maintaining strong client relationships in a consulting environment.
Location: Lisbon, Portugal; hybrid work
Company
hirify.global delivers data and analytics projects for international companies, focusing on Business Intelligence, data engineering, and analytics technology.
What you will do
Analyze, design, and develop data engineering solutions and Business Intelligence projects.
Process data and develop ETL processes.
Create and model Data Marts in relational, dimensional, and/or table environments.
Build and maintain positive relationships with client staff at all levels.
Keep up to date with technological trends in Analytics.
Requirements
Bachelor’s or Master’s degree in Computer Science, Information Management, Mathematics, Engineering, Statistics, or another field emphasizing data analysis.
More than 5 years of experience in Analytics, ideally in service or consulting companies.
Experience using Azure Databricks for data processing and analysis.
Proficiency in Python and SQL Server.
Innovative mindset with a balanced customer, business, and technology orientation.
Commitment, integrity, maturity, teamwork skills, and a strong sense of responsibility.
Fluent English required.
Culture & Benefits
Permanent employment contract with a salary based on training and experience.
Hybrid Smartwork model with autonomy over working time.
Customized career plan, colleague support, regular feedback, and salary reviews based on results.
Training and exposure to current data and analytics technologies through innovation, partnerships, and R&D initiatives.
Inclusive, collaborative environment with support from technical and business colleagues.
Hiring process
Three meetings: an initial People First discussion covering professional growth and salary band, a technical session, and a meeting with the future team lead.
After successfully completing all stages, People First presents the offer and answers remaining questions.
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