About this role
Build and maintain scalable analytics data pipelines on AWS. Design data lake and data warehouse architectures, collaborate with stakeholders for dataset modeling and self-service analytics, and provide ongoing operational support.
Key Responsibilities
- Develop, build and maintain scalable data pipelines using AWS services
- Design and optimize data lake and data warehouse architecture
- Collaborate with data analysts and business stakeholders to model datasets and enable self-service analytics
- Enforce cloud security, cost optimization and infrastructure as code best practices
- Provide continuous operational support via proactive monitoring and ongoing enhancements
Technical Overview
AWS-focused data engineering role covering data pipeline development, data lake and data warehouse architecture design, and enforcement of cloud security, cost optimization, and infrastructure as code. Expected experience includes EC2, Lambda, EMR, Redshift, and ideally Apache Spark and distributed systems concepts.
Ideal Candidate
The ideal candidate is a mid-level IT professional with 2+ years of AWS development and hands-on experience building scalable data pipelines. They are strong in designing data lake and data warehouse architectures and implementing cloud security, cost optimization, and infrastructure as code, with experience in operational support and proactive monitoring.
Must-Have Skills
Bachelor's degree in Computer ScienceComputer EngineeringSoftware EngineeringInformation TechnologyComputer Information SystemsMISData ScienceInformation Scienceor Engineering2 years of IT experienceDevelopbuild and maintain scalable data pipelines using AWS servicesDesign and optimize data lake and data warehouse architectureEnforce best practices in cloud securitycost optimization and infrastructure as code for cloud solutionsProvide continuous operational support for the analytics ecosystem through proactive monitoringissue resolution and ongoing enhancements
Nice-to-Have Skills
2+ years of AWS development experienceAWS technology experience such as EC2LambdaEMR and RedshiftApache Spark framework experienceStrong understanding of RDBMS systemsSQL querying techniques and data modeling principlesAzurePower BI and Fabric experienceProduction support experience with large enterprise applications
Tools & Platforms
Amazon Web ServicesAWSEC2Amazon Elastic Compute CloudLambdaAWS LambdaEMRAmazon EMRRedshiftAmazon RedshiftApache SparkAzureMicrosoft AzurePower BIMicrosoft FabricFabric
Required Skills
AWSdata pipelinesdata lake architecturedata warehouse architecturecloud securitycost optimizationinfrastructure as codeproactive monitoringissue resolutionEC2LambdaEMRRedshiftApache Sparkdistributed systemsRDBMSSQL queryingdata modeling principlesAzurePower BIFabricproduction support
Hard Skills
AWSAmazon Web Servicesdata pipelinesAWS servicesdata lake architecturedata warehouse architecturedata lakedata warehousecloud securitycost optimizationinfrastructure as codeIaCproactive monitoringissue resolutionanalytics ecosystem supportSQL querying techniquesdata modeling principlesRDBMS systemsRelational Database Management SystemsEC2Amazon Elastic Compute CloudLambdaAWS LambdaEMRAmazon EMRRedshiftAmazon RedshiftApache Sparkdistributed systemsstorageAzureMicrosoft AzurePower BIAzure Data FabricFabricMicrosoft Fabricproduction supportenterprise applicationsself-service analytics
Soft Skills
collaborationcross-functional teamworkmodel datasetscommunicating with data analystsbusiness stakeholder collaborationongoing enhancementsproactive monitoring mindsetissue resolution
Keywords for Your Resume
AWS Data Applications AnalystAWSAmazon Web Servicesdata pipelinesdata lakedata warehousecloud securitycost optimizationinfrastructure as codeproactive monitoringissue resolutionanalytics ecosystemEC2Amazon Elastic Compute CloudLambdaAWS LambdaEMRAmazon EMRRedshiftAmazon RedshiftApache Sparkdistributed systemsSQL querying techniquesdata modeling principlesRDBMSRelational Database Management SystemsAzureMicrosoft AzurePower BIMicrosoft FabricFabricproduction supportlarge enterprise applications
Deal Breakers
2+ years of IT experience, Bachelor's degree in one of the listed fields (or certified Application Development Apprenticeship substitution), Must demonstrate ability to develop data pipelines using AWS services and support analytics ecosystem operations
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