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Big Data Engineer - Java/Python/Scala w/Hadoop (4083)
Eingestellt von iET SA
Gesuchte Skills: Python, Java, Engineer, Engineering
Projektbeschreibung
For a 12 month project at our client's site, an international bank based in Zurich, we are looking for an experienced
BIG DATA ENGINEER - JAVA/PYTHON/SCALA W/HADOOP (4083)
We are looking for a strong teamplayer who has the technical know how of Internet facing applications.
YOUR QUALIFICATIONS:
- STRONG PROGRAMMING BACKGROUND IN SCALA, JAVA OR PYTHON - one has to be at expert level
- Very skilled in SCRIPTING IN A LINUX environment
- VERY EXPERIENCED WITH SPARK, HDFS, HIVE, AND THE HADOOP ECOSYSTEM (IDEALLY WITH EXPOSURE TO CLOUDERA CDH/EDH)
- Experience with relational DBs as well as NoSQL/NewSQL options like HBase & Cassandra
- Deep knowledge in Python data science ecosystem, eg Jupyter
- Good understanding of issues inherent to distributed/clustered systems
- Excellent communication and inter-personal skills
- A strong sense of ownership and initiative
- Finance and banking knowledge would be an asset
YOUR RESPONSIBILITIES:
- Engineering of data pipelines (primarily batch, increasingly intra-day/near-Real Time)
- Integration and evaluation of new big data and data science technologies
- Development of platform components
- Consultation to application groups on how best to utilise the platform and technologies
- Engagement with groups for PoCs and full platform on-boarding
Are you ready for a new challenge and available immediately? We look forward to receiving your application in MS-Word. For any questions, please contact us.
BIG DATA ENGINEER - JAVA/PYTHON/SCALA W/HADOOP (4083)
We are looking for a strong teamplayer who has the technical know how of Internet facing applications.
YOUR QUALIFICATIONS:
- STRONG PROGRAMMING BACKGROUND IN SCALA, JAVA OR PYTHON - one has to be at expert level
- Very skilled in SCRIPTING IN A LINUX environment
- VERY EXPERIENCED WITH SPARK, HDFS, HIVE, AND THE HADOOP ECOSYSTEM (IDEALLY WITH EXPOSURE TO CLOUDERA CDH/EDH)
- Experience with relational DBs as well as NoSQL/NewSQL options like HBase & Cassandra
- Deep knowledge in Python data science ecosystem, eg Jupyter
- Good understanding of issues inherent to distributed/clustered systems
- Excellent communication and inter-personal skills
- A strong sense of ownership and initiative
- Finance and banking knowledge would be an asset
YOUR RESPONSIBILITIES:
- Engineering of data pipelines (primarily batch, increasingly intra-day/near-Real Time)
- Integration and evaluation of new big data and data science technologies
- Development of platform components
- Consultation to application groups on how best to utilise the platform and technologies
- Engagement with groups for PoCs and full platform on-boarding
Are you ready for a new challenge and available immediately? We look forward to receiving your application in MS-Word. For any questions, please contact us.
Projektdetails
Geforderte Qualifikationen
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Kategorie:
IT Entwicklung, Ingenieurwesen/Technik