Key skills
AWS infrastructureAWS data lakeAWS EMRAWS IAMAWS EC2AWS VPCAWS LambdaAWS S3AWS EKSAWS ECSAWS KMSAWS KinesisAWS ConfigAWS CloudTrailAWS EventBridgeAWS RDSAWS SNSAWS SQSAWS ELBAWS ASGHadoop Big Data architectureHDP ecosystemCI/CD pipelinesConfiguration managementLinuxSolarisUbuntuCentOSAIXHP-UXWindows NTWindows 2000Windows XPWindows VistaWindows 7Windows 8NetApp FilerEMC storageApache TomcatWebLogicGrid computing configurationSource code managementBambooGitHubAWS CloudFormationTerraformAWS CloudWatchAWS CLITalendIICSAlationMicroStrategyTableauAlteryxData LakeAnalyticsHadoopAWSECSEKSCloudFormationEC2LambdaS3RDSIAMCloudWatchSNSSQSKinesisCI/CD
About this role
Hilton is a global leader in hospitality, committed to providing exceptional experiences for guests. They are seeking a Lead Data Operations Engineer to design and maintain AWS infrastructure, manage data lakes, and lead migration efforts while collaborating with various teams to ensure best practices in data processing.
Responsibilities:
- Collaborate with teams (Cloud Operations, Global Information Security, Cloud DBAs, and Networking)
- Design, implement, and maintain AWS infrastructure and services within a managed service environment to implement infrastructure platforms that meet business requirements
- Design, implement, and maintain AWS data lake environment
- Lead migration efforts from Infrastructure for migration of legacy BigData Solution into EMR
- Collaborate with Data Science teams to establish best practices for data ingestion and processing in the data lake, ensuring support for business users
- Collaborate with platform, cloud operations teams to implement Terraform infrastructure, manage system installations, patches, and upgrades
- Manage EMR, Talend, and IICS cluster workloads
- Address performance issues in tools like Alation, MSTR, Tableau, and Alteryx
- Work with AWS services such as EMR, IAM, EC2, VPC, Lambda, S3, EKS, ECS, KMS, Kinesis, Config, CloudTrail, EventBridge, RDS, SNS, SQS, ELB, and ASG
- Troubleshoot issues related to applications, data, cloud infrastructure, Linux, and automation scripts
- The position supervises direct reports
- Job requires up to 5% of domestic travel
Requirements:
- Bachelor's degree or equivalent, or higher, in Computer Science, Analytics, or a related field
- Five (5) years of progressive experience in Systems Engineering/Administration, or related occupation
- Progressive experience in data integration
- Proficiency in AWS cloud and Hadoop Big Data architecture
- Utilizing HDP ecosystem, CI/CD pipelines, and configuration management
- Using Linux, including Solaris, Ubuntu, CentOS, AIX, HP-UX, and Windows (NT/2000/XP/Vista/7/8)
- Utilizing NetApp Filer, EMC, AWS S3, Apache Tomcat, WebLogic, and grid computing configuration and installations
- Applying source code management practices and systems, particularly Bamboo and GitHub
- Deploying and managing AWS services including EC2, S3, EBS, IAM, ELB, CloudFormation, Terraform, and CloudWatch using both the AWS Console and AWS CLI