Big Data architect | Prague
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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
LOCATION
- Praha
Job Type
- Full-time
Sector
- Data Science & Analytics