Annoncedetaljer
Sted:
Beskrivelse
title: technical team leader
location: denmark-copenhagen
the technical team lead will work with key customers and stakeholders to understand requirements and help develop specific data warehouse subject areas.
previous experience using etl tools such as datastage or informatica is plus.with the ability to present complex ideas to technical and non-technical audiences,
excellent communication skills, both written and verbal.
abliity to prioirtize workload and work well under pressure to meet deadlines and manage business expectations. microstrategy,
previous experience using bi tools such as business object, congnos or microsoft bi is plus.
you must be fluent in danish.
excellent analytical and problem solving skills with an understanding of existing and emerging technologies.technical, and communication capabilities and experience of leading a team of consultants,
demonstrated analytical.and work independently as well as in a team environment, sybase, handles shifting deadlines, however knoweldge of orcale,
vrey good knoweldge of sql progrmaming; prefreably terdaata sql, ms sql sevrer or otehr rdmbs sysetms will also be consdiered
ability to prioritize assignments.etl jobs
assists in project planning and scheduling
design and manage database import / export processes used to generate client data warehouse deliverables
assist development staff with the debugging and optimization of sql queries and stored procedures
ongoing data warehouse maintenance,
responsibilities
gather feedback from business users and understand requirements
author complex stored procedures, finance, sql jobs, or other relevant numerate discipline, mathematics, and performance tuning
transact sql and stored procedure development
assist and support olap and business intelligence activities
bachelors degree completed or close to completion in computer science, change management.
the primary role of this position will be designing and implementing a data warehouse, extract transform load procedures and providing detailed analysis of large amounts of data.
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Bruger: Anoniem

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