Assembling large, complex data sets that meet business requirements
Identifying, designing, and implementing internal process improvements: including process automation, optimizing data delivery, etc.
Designing optimal ETL infrastructures from variety of data sources
Building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Experience from system integration projects based on the leading software products in the big data, business intelligence and analytics area is needed e.g.:
Talend, Big Data, including the Hadoop Ecosystem, NoSQL approaches and Cloud Data Management.
Data warehousing and BI (incl. SQL / Data Modelling, Data Integration, Data Governance).
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RiVi Group
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