Data Platform Engineer

• Design and build data pipelines for ingesting, processing, and storing data efficiently from various internal and external sources
• Ensure the performance, reliability, and scalability of data platforms, focusing on optimizing infrastructure and workflows
• Collaborate with different teams to integrate data from multiple systems and ensure smooth data flow across platforms
• Select and implement appropriate storage solutions, such as data lakes or cloud-based databases, to support organizational needs
• Implement data security measures, including encryption, access controls, and compliance with data privacy regulations like GDPR or CCPA
• Work with data analysts, data scientists, and stakeholders to understand their requirements and deliver technical solutions accordingly
• Track and resolve issues in data systems, ensuring high availability, disaster recovery, and effective backups
• Support the organization’s digital transformation efforts by enabling advanced analytics, machine learning, and other data-driven initiatives

Elvárások / Requirements

• At least 5 years of experience in data platform engineering, working with large-scale, complex data systems
• Strong expertise with the Microsoft Data Stack, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database
• Proficiency in building and optimizing data pipelines and workflows using ETL tools such as SQL Server Integration Services (SSIS) and Azure Data Factory
• Solid understanding of cloud platforms and architecture, specifically Azure, with experience in networking principles
• Proficiency in Python, PowerShell, or similar scripting languages for automation and data processing
• Familiarity with CI/CD pipelines for data workflows, especially using Azure DevOps
• Strong knowledge of data governance, data security, and compliance with regulations like GDPR or CCPA
• Excellent communication, collaboration, and problem-solving skills

Nice to Have:

• Experience in the humanitarian or international development sector
• Certifications such as Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert
• Familiarity with advanced analytics, artificial intelligence, or machine learning applications

Amit nyújtunk / Benefits

• Health insurance (Medicover, Spring White Package)
• 15 days of fully paid sick leave/year
• Hybrid work arrangement
• Flexible fringe benefit system (Cafeteria, OTP SZÉP Card, Voluntary Health/Pension fund, Home internet reimbursement, Public transport pass reimbursement, Kindergarten/nursery reimbursement)
• Travel expense reimbursement for commuting to work or home leave
• Eyeglasses expense reimbursement
• "AYCM" Sport pass membership
• Access to online learning platform and trainings
• Corporate and local team-building events

Occasion-specific benefits:

• Work-related travel insurance
• 3 additional days of paid leave in case of marriage

a0tbI00000CDKVIQA5