I'd say your odds are not that likely at the moment.Navya Kanav wrote:was in datawarehousing, qlikview
I think I know which company you are referring to. I just looked at your ad:ts1978 wrote:I'd say your odds are not that likely at the moment.Navya Kanav wrote:was in datawarehousing, qlikview
I recently put up a BI Developer job ad on LinkedIn and there was a deluge of applicants (200 relevant applicants, and we're not a "brand name" company/employer). This consisted of both locals and scores of BI Developers/analysts from India.
The one market skill gap I saw based on this recent batch of applicants is that they were heavily weighted towards Microsoft technologies and other bits and pieces you'd use in a Banking environment - rather than technologies like Hadoop which is what we were looking for at the time.
Good luck.
Excellent Application of:
SQL (any variation);
Java, JavaScript, C, C++, C#, .NET, Tomcat, WebLogic or WebSphere or JBOSS Application servers; and
Common adaptor for various OLAP servers (Oracle, SQL Server, Pentaho Mondrian).
Excellent understanding of data analytical tools/technologies:
Assist with supporting reports, dashboards, KPI's, and mobile BI solutions;
Microsoft SSAS or Pentaho Mondrian for OLAP implementations;
Microsoft SSRS for implementing reporting solutions;
Defining MDX calculations and queries;
Java, JavaScript, C, C++, C#, .NET, Tomcat, WebLogic or WebSphere or JBOSS Application servers;
Common adaptor for various OLAP servers (Oracle, SQL Server, Pentaho Mondrian); and
Comfortable working with Linux and Microsoft environments;
Object Orientated Programming, Multi-Threading, Performance, Tuning, Web Performance Scaling; and
Product development Life Cycle.
Average Application of:
MDX, XMLA or OLAP4;
Information Architecture Design (Operational and Financial);
Customer engagement (Operational and Financial); and
Integrate ORACLE OLAP Server + equivalent platforms.
Average Understanding of:
Microsoft SSIS ETL and Datamart Design;
Microsoft SSAS (Cube and Dashboard design and maintenance);
Microsoft SSAS (Calculated Member with MDX XMLA or OLAP4 Scripting); and
Process optimization and design (Operational and Financial).
Having experience in BIG DATA, Data Analytics, NoSQL (MongoDB, CouchBase, etc); and
Knowledge and work experience in HADOOP environment.
Work experience:
Worked for large modern food retail companies being used to highly transactional environments.
Understanding the data complexities of modern retail
We will consider only those engineers that have worked in European + Asian modern retail companies
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