JOB DESCRIPTION

Your main responsibilites as Big Data architect will be to deliver data integrations, migrations, transformation projects to enterprise customers. Design large-scale data processing systems and infrastructures, optimize for scalability, reliability and machine learning. You may also troubleshoot potential platform issues. Other data scientists and key-technical leaders are going to be your team, and together you will bring technical solutions to life.

CANDIDATE PROFILE

• IT platform implementation experience on senior or architect-level, about 8 years ideally
• +3 years experience in Data Lake/Hadoop platform implementation
• Experience in architecting and writing database or analytics code (e.g., data pipelines)
• Scripting in Python, JavaScript, etc.
• Proficient in any of the programming languages – Python, Scala or Java
• Experience in modern data platform components: Hadoop, Hive, HBase, Spark, Kafka(or similar)
• Knowledge in Big Data distributions on Hadoop like Hortonworks, Cloudera or Databricks
• Knowledge with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)
• SQL knowledge and experience with relational databases

WE OFFER

• High budget
• Newest cloud-technology stack
• Access to education leading to various certifications
• Agile team, experienced peers
• Apple or Lenovo laptop (also for personal usage)
• Long-term projects – permanent contract
• Home Office
• Flexible working hours
• 5 weeks vacation, 2 Sickdays
• Extended sick-pay
• Health care provider
• Flexi pass, Multisport card
• Stock purchase plan