|Type de contrat:||Durée déterminée|
|Date de début:||asap|
|Nom du contact:||Sacha Custers|
|Email du contact:||Sacha.Custers@volt.eu.com|
|Job Publié:||March 20, 2019 09:22|
You are part of a squad team that works in an agile framework (scrum). All squad members sit physically together and work on a specific business domain (eg. Network & Customer Experience, Location Insights, Value Analytics, …)
You will work closely with your squad colleagues and be responsible for the analysis, development, testing and follow up of the implementation of project deliverables with a focus on quality:
·load and integrate data from our multitude of applications, service platforms and networks in the Enterprise Data Warehouse/Data Lake via ETL solutions
·creating datamarts and/or reports/dashboards
The analyst/developer is a key contact person for internal clients and takes care of optimal communication and collaboration with them and all other teams needed, in and outside our domain.
He/she contributes to the organization and optimization of team processes.
You make sure that your (and your colleagues') solutions are matching the requirements regarding security (retail/wholesale, legal, …) and confidentiality, defined by Legal- and Security- teams and by our Datawarehouse Data Security Officer (DSO).
You have to make sure that solutions make optimal use of available computer capacity (CPU, I/O, storage, memory, …), available on our platforms (Teradata, Hadoop, Oracle, … ) and guarantee optimal performance.
Required Profile and skills:
oProfound knowledge of key concepts of Business Intelligence, Data Warehousing and entity-relationship (E-R)-, Third Normal Form (3NF)- and dimensional modeling (knowledge on RDA helps)
oGood knowledge on Hadoop and related technologies (Hortonworks Hadoop stack, HBase, MapReduce, Storm, Hive, Kafka, Scala, Spark ...) Scala & Spark are mandatory!
oKnowledge and experience in:
§Scripting (Perl, Java, Python, R, ...)
§NoSQL principles and systems: document stores, graph databases, KVP stores
§Parallel data processing (MPP) and tuning
§modeling tools (RDA)
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