Data Engineer AI/BI/Database development · Stockholm · Tillfälligt distansarbete

2 weeks ago


Stockholm, Stockholm, Sweden Sqlservice Full time

I rollen som DataEngineerpå SQL Service förväntas du jobba i ett brett spektrum av uppdrag från klassiska DataWarehouse-lösningar med ETL-flöden till strömmande data och data pipelines i molnmiljö. Där uppdraget kan vara att på kort tid sätta sig in i kundens befintliga lösning för att förbättra prestanda eller förvaltningsbarhet. Till andra uppdrag som kan handla om att tillsammans med kunden bygga deras satsning på att bli en datadriven organisation med den tekniska lösningen byggd på de senaste molnteknikerna.

Den perfekta kandidaten hartidigareerfarenhet av att jobba som konsultinomDataWarehousingochETL ellerDataEngineering. Personenbör ha tillräcklig erfarenhet för att självständigt kunna driva implementationer och förbättringar inomsittexpertisområdeoch föreslå och implementera skalbara lösningar som hanterar stora mängder data.

Du har ett personligt driv ochnästanaturliga steg är att vidareutvecklas inomDataEngineeringoch du triggas av atthjälpadina kollegor att lyckas även inom detta område.Förutom hands-on arbete hoskund, så hjälper du kunder och kollegormedbestpractice,peerreviewsochomvärldsbevakningkringData
EngineeringfrågoriAzuremolnarkitektur.

Krav

  • Du har minst 3 års erfarenhet av att jobba med datalager och/eller rapporter/dashboards, till exempel med SQL, SSIS, SSAS, SSRS, Power BI, Qlik eller Tableau.
  • Har erfarenhet avETL-tools som SSIS ellerDataFactory
  • Du har en mycket god vana av att visualisera och presentera datadrivna insikter.
  • Du har en stark analytisk förmåga
  • Goda kunskaper i tal och skrift på svenska och engelska är ett krav

Meriterande

  • Erfarenhet av programmeringsspråk för dataanalys, som exempelvis R, Python, Hive eller Spark
  • Erfarenhet av Azure eller AWS
  • Erfarenhet av APS eller Azure Synapse
  • Erfarenhet av Data Lake, Hadoop Ecosystem, eller Cloudera
  • Erfarenhet av Informatica eller BIML
  • Erfarenhet av andra databasplattformar

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