Senior Azure Data Engineer – Cybersecurity Data Lakehouse & Data Pipelines

Be Part Of A High-Performing Team

Jointheinformationsecuritytechnologyorganizationofaleadingglobalfinancialinstitutioncommittedtoprotectingsensitiveinformation,strengtheningcybersecuritycapabilities,andmaintainingasecure,compliantbankingenvironment.

Thisopportunitysupportsacollaborativecybersecuritydataengineeringteamfocusedonmodernizinghowsecurityinformationiscollected,integrated,andgovernedacrosstheenterprise.Theteamisadvancingacentralizedcybersecuritydatalakehouseinitiativetoimprovevisibilityintosensitivedata,strengtheninformationprotectioncontrols,andenablemoreeffectivesecurityanalytics.

Thepositionworkscloselywithcybersecurityengineering,informationprotection,anddataoperationsstakeholderstodeliverscalablecloud-baseddatasolutions.

What'sInStoreForYou

• Hybridopportunity–JerseyCity,NJ.Onsitefrequencytobeconfirmed.
  

• Engagement:W2only(noC2C/1099).
  

• Opportunitytocontributetoahigh-impactcybersecuritydatamodernizationinitiativewithinaglobalfinancialservicesenvironment.
  

• WorkwithMicrosoftAzuredatatechnologieswhilesupportingenterprisesecurity,compliance,anddatagovernanceobjectives.
  

• Collaboratewithexperiencedcybersecurityengineers,dataowners,andinformationsecurityprofessionals.
  

• ParticipateinanAgiledeliveryenvironmentwithestablishedsoftwaredevelopmentlifecycleprocesses.
  

HowYouWillMakeAnImpact

• Design,develop,andmaintainAzure-baseddataingestionpipelinessupportinganenterprisecybersecuritydatalakehouse.
  

• Integratemultiplecybersecuritydatasources,particularlythosesupportingDataSecurityPostureManagement(DSPM)andDataLossPrevention(DLP).
  

• DevelopscalabledatatransformationandprocessingworkflowsusingAzureDataFactory,AzureSynapseAnalytics,andAzureDatabricks.
  

• Supportthecentralization,standardization,andgovernanceofcybersecuritydatasetstoimprovedataaccessibility,reliability,andconsistency.
  

• Collaboratewithinformationsecurityteams,dataowners,andsecurityengineerstotranslatetechnicalandbusinessrequirementsintoactionabledataengineeringsolutions.
  

• Troubleshootingestionfailures,dataqualityissues,pipelineperformanceproblems,andintegrationchallenges.
  

• Implementappropriatedatasecurity,accesscontrols,andcomplianceconsiderationsthroughoutthedataengineeringlifecycle.
  

• ParticipateinAgilesprintplanning,developmentactivities,testing,documentation,andproductiondelivery.
  

• Providetimelyprojectupdates,trackdevelopmentprogress,andmaintainalignmentwithestablishedSDLCstandards.
  

Requirements

Do You Bring Proven Success in Azure Data Engineering and Enterprise Data Integration?

• Senior-leveldataengineeringbackground,with10+yearsofoverallrelevantexperiencealignedwiththerequisition'ssenioritydesignation.
  

• Stronghands-onexperiencedesigning,developing,andsupportingdataingestionpipelineswithinMicrosoftAzureenvironments.
  

• PracticalexpertisewithAzureDataFactory,AzureSynapseAnalytics,andAzureDatabricks.
  

• Experiencebuildingormaintainingcloud-baseddatalakes,lakehouses,orenterprisedataintegrationplatforms.
  

• StrongunderstandingofETL/ELTprocessing,datatransformations,integrationpatterns,anddataqualitymanagement.
  

• Knowledgeofdatasecurity,governance,andcomplianceprinciplesinenterpriseenvironments.
  

• Abilitytotroubleshootcomplexdatapipelinesandworkacrossmultiplesourcesystems.
  

• Experiencecollaboratingwithtechnicalandbusinessstakeholderstogatherrequirementsandcoordinatedelivery.
  

• FamiliaritywithAgilemethodologies,sprintplanning,andenterpriseSDLCprocesses.
  

• Stronganalytical,problem-solving,documentation,andcommunicationskills.
  

• RelevantMicrosoftAzurecertificationsaredesirable;therequisitionreferencescertificationsbutdoesnotspecifyamandatorycredential.
  

• Experiencewithcybersecuritydata,DSPM,DLP,orregulatedfinancialservicesenvironmentsisparticularlyvaluable.