Data Engineer

About us:SuperAwesome is an award-winning technology company that powers the youth digital ecosystem, helping brands to meet their audience where they are.We bring together proprietary advertising and gaming products, audience insights, and compliance capabilities to help build a safer internet for the next generation.Our technology is trusted by hundreds of brands and creators and enables more effective digital engagement with almost half a billion young people worldwide every month.As we specialise in reaching under-18 audiences, we have to be as curious, fast-paced, and creative as kids and teens. At SuperAwesome, you’ll be encouraged to own your impact, make your team more awesome, and evolve like a kid as you grow into your role.At our core is the #SAFam, a community where every voice is valued and diversity is celebrated. We prioritise individuality and foster an inclusive workplace where everyone feels they truly belong.

What you’ll do?

• Ourteamsaregrowingrapidlyandwe’rehiringaDataEngineertotakeourproductstothenextlevelofscale.UseyourexperienceindataengineeringtohelpdefineDataasaProduct,andbringyourexpertisetoimprovenotjusttheproductitselfbuttheclientexperience,leveragingdata,fromETLtothepresentationlayer.
• YouwillworkcloselywithyourTechLeadandtheotherengineersinyourteamtodefinetheappropriatetechnicalapproach,metrics,andtimelines.YouwillhaveyoursayintheproductroadmapandhelptheteamandtheProductManagertomakethemostinformeddecisionstobreakdowncomplextechdeliverablesintosimpleandunderstandableuserstories.
• Youwilldrivecollaboration,gatherfeedback,solveproblems,andtacklechallengesthroughtestsandlearning.
• Qualityiskeyforus,soyouwillensureallproductcomponentsarebuilttoanappropriatelevelofqualityforthestage(alpha/beta/production),deliverproductsusingtheappropriateleveloftestingandmonitoring,failfast,andlearnanditeratefrequently.
• Youwillchampioncontinuousimprovementandalwaysaimtoimprovetheproductyourteamownsandmeasureyourimpactwiththeappropriatetech,product,ordeliverymetrics.

Responsibilities:

Inthisroleyouwill:

• Workacrossthefullstackdependingonwhereyoucandrivethehighestimpact:fromETLpipelinestodatawarehousingtovisualisations,aswellastestingandcloudinfrastructure.
• Workwithyourteamtodesignandimplementfeaturesandservicesforthedataanalyticssolution,andkeepthedesignchoiceswell-documentedandexplained
• Train/mentorotherDataengineersonDataengineeringbestpractice.
• Useyourexperiencetocreate/improvepredictivedataquality
• ChampiontheDataOpsculture,supportdatasystemsinproduction,includingparticipationinourout-of-hourson-callrota
• Communicatewithcustomerstodiscussnewusecasesorhelpthemidentifyandfixdataissues,aswellasmanagetheend-to-endsetupforthem:fromrawdataanalysis,todefiningandimplementingdataingestion/enrichmentpipelinestocreatingdatavisualisations

(Requirements)Whatwearelookingfor:

Importanttechnologies:

• GoodunderstandingofDatapipelinedesignandimplementationusingDatabricks,andPython(orPythonderivative,likePySpark)
• GoodvisualizationskillsusingSisenseand/orothervisualisationtools
• GoodexperiencewithSQL
• GoodunderstandingofDatamanagementand/orDatagovernance(makingsurethedataisofexpectedvolume,schema,etc.)

Nicetohave:

• Goodunderstandingofmicroservicesarchitectureprinciples
• ExperiencewithKedroonDatabricks
• ExposuretoAWSorothercloudprovider
• ExposuretoAirbytereadingfrommultipledifferentdatasources

Originally posted on Himalayas