The world’s largest humanitarian organization, with a network of 192-member National Societies. The overall aim of the organization is “to inspire, encourage, facilitate, and promote at all times all forms of humanitarian activities by National Societies with a view to preventing and alleviating human suffering and thereby contributing to the maintenance and promotion of human dignity and peace in the world.” The organization works to meet the needs and improve the lives of vulnerable people before, during and after disasters, health emergencies and other crises.
Data Platform Strategy and Architecture:
• Take part in the development and maintaintenance of the organization’s data platform strategy and roadmap.
Data Ingestion and Integration:
• Design and implement robust data ingestion processes to acquire data from various sources (internal and external). • Define data integration patterns and technologies to ensure smooth data flow into the platform. • Establish data quality checks and validation mechanisms during the ingestion process.
Data Storage and Management:
• Determine appropriate data storage technologies and structures (e.g., databases, data lakes, object storage) based on the organization’s needs. • Design and implement scalable and reliable data storage solutions. • Develop data management strategies, including data partitioning, indexing, and archiving, to optimize performance and storage efficiency.
Data Processing and Analytics: • Design and implement data processing frameworks and pipelines to transform and analyze data at scale. • Select and configure appropriate processing technologies, such as distributed computing platforms, data processing frameworks, and streaming systems. • Collaborate with data analysts and data scientists to ensure the platform supports advanced analytics and machine learning workloads.
Data Security and Governance: • Define and implement data security measures, including data access controls, encryption, and data masking. • Establish data governance frameworks and policies to ensure compliance with data regulations and privacy requirements. • Monitor and optimize data platform performance and availability, including disaster recovery and backup strategies.
Elvárások / Requirements
BSC or MSC degree in the field of Computer Science/Information Systems Min. 3 years experience as a Data Engineer with data platforms Good knowledge of data platform technologies, including data ingestion, storage, processing, and analytics. Experience in database design, data warehousing, and data integration concepts. Experience in cloud platforms. Knowledge of big data technologies such as Hadoop and Spark.
Your personality:
Strong strategic and conceptual thinking Ability to drive results Developing others Strong presentation skill Focused on quality and standards Teamworker
Amit nyújtunk / Benefits
Supplementary health insurance (Medicover White Package) 15 days of fully paid sick leave/ calendar year Telecommuting 2 days/week
Cafeteria, AYCM pass membership Voluntary Health/Pension fund Home internet reimbursement Public transport pass reimbursement Kindergarten/nursery reimbursement Work-related travel insurance 40 hours / calendar year for volunteering at the organization of your choice Corporate and local team-building events
Data Analyst data-management Apache Spark Computer Science data-security Data Engineering Data Storage data-integration data governance Information Systems data-processing data-ingestion Hadoop