Data Engineer (m/f/d)
Posted Updated 3
views
Experteer Overview
Es posible que un gran número de candidatos se presenten a este puesto, así que asegúrese de enviar su CV y su solicitud lo antes posible.
Schwarz Digits seeks a Data Engineer to design and scale data solutions, drive data operations, and develop ML algorithms that deliver business value. You will build batch and real-time data pipelines, ensure data quality and availability, and extract actionable insights while collaborating with stakeholders. The role sits at the intersection of agility and security within Schwarz Group, contributing to digital sovereignty in Europe. You’ll work in a dynamic, multicultural environment and stay current with emerging technologies.
Compensaciones / Beneficios
• Design, build, and maintain batch and real-time data pipelines
• Conduct data operations including exploration, provisioning, cleaning, testing, and ALM
• Develop and implement algorithms in statistics and machine learning
• Collaborate with business stakeholders to translate requirements into technical solutions
• Ensure data xqbhyrx integrity, quality, and availability across all systems
• Extract actionable business insights
Responsabilidades
• Python
• SQL
• Spark
• Kafka
• Kubernetes
• Hive
• SQL Server
• MongoDB
• ELK
• Cassandra
• Agile methodology experience
Requisitos principales
•
Es posible que un gran número de candidatos se presenten a este puesto, así que asegúrese de enviar su CV y su solicitud lo antes posible.
Schwarz Digits seeks a Data Engineer to design and scale data solutions, drive data operations, and develop ML algorithms that deliver business value. You will build batch and real-time data pipelines, ensure data quality and availability, and extract actionable insights while collaborating with stakeholders. The role sits at the intersection of agility and security within Schwarz Group, contributing to digital sovereignty in Europe. You’ll work in a dynamic, multicultural environment and stay current with emerging technologies.
Compensaciones / Beneficios
• Design, build, and maintain batch and real-time data pipelines
• Conduct data operations including exploration, provisioning, cleaning, testing, and ALM
• Develop and implement algorithms in statistics and machine learning
• Collaborate with business stakeholders to translate requirements into technical solutions
• Ensure data xqbhyrx integrity, quality, and availability across all systems
• Extract actionable business insights
Responsabilidades
• Python
• SQL
• Spark
• Kafka
• Kubernetes
• Hive
• SQL Server
• MongoDB
• ELK
• Cassandra
• Agile methodology experience
Requisitos principales
•