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Data Engineer AI/BI/Database development · Stockholm · Tillfälligt distansarbete
1 day ago
I rollen som Data Engineer på SQL Service förväntas du jobba i ett brett spektrum av uppdrag från klassiska Data Warehouse-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 har tidigare erfarenhet av att jobba som konsult inom Data Warehousing och ETL eller Data Engineering. Personen bör ha tillräcklig erfarenhet för att självständigt kunna driva implementationer och förbättringar inom sitt expertisområde och föreslå och implementera skalbara lösningar som hanterar stora mängder data.
Du har ett personligt driv och nästa naturliga steg är att vidareutvecklas inom Data Engineering och du triggas av att hjälpa dina kollegor att lyckas även inom detta område. Förutom hands-on arbete hos kund, så hjälper du kunder och kollegor med best practice, peer reviews och omvärldsbevakning kring Data Engineering frågor i Azure molnarkitektur.
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 av ETL-tools som SSIS eller Data Factory.
- 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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