Key Responsibilities
Administer and support AWS based data platforms across development test staging and production environments
Manage services such as Amazon S3 Redshift RDSAurora Glue EMR Athena Lake Formation Kinesis Lambda DMS Step Functions and CloudWatch
Provision and configure cloud resources using infrastructureascode tools such as Terraform AWS CloudFormation or AWS CDK
Implement identity and access controls using IAM roles policies permission boundaries AWS Organizations and service control policies
Monitor platform health capacity job execution data pipelines storage and query performance proactively identify and resolve issues
Perform incident problem change release and servicerequest management in accordance with defined SLAs and ITIL practices
Optimize Redshift clusters SparkEMR workloads storage tiers data transfer and compute consumption for performance and cost
Implement backup recovery highavailability businesscontinuity and disasterrecovery controls conduct periodic restoration and failover tests
Secure data using encryption key management private networking secrets management logging vulnerability remediation and leastprivilege access
Enable data governance through cataloging lineage classification access auditing retention and lifecyclemanagement controls
Build operational automation using Python Shell scripting AWS CLI SDKs and CICD pipelines
Maintain platform standards runbooks architecture diagrams configuration records SOPs troubleshooting guides and audit evidence
Partner with data engineers architects security teams application teams FinOps and business stakeholders on onboarding migrations upgrades and capacity planning
Provide technical leadership mentor junior administrators coordinate vendor support and drive rootcause analysis and continuous improvement

Required Technical Skills
Strong handson administration experience with AWS data analytics compute storage networking security and monitoring services
Deep understanding of data lake data warehouse lakehouse batchprocessing and streaming architectures
Experience administering Amazon Redshift including workload management query tuning distribution and sort strategies scaling snapshots and security
Experience with AWS Glue Data Catalog crawlers jobs workflows and Lake Formation permissions
Working knowledge of Apache Spark and Amazon EMR administration troubleshooting scaling and performance tuning
Strong knowledge of Amazon S3 design bucket policies lifecycle rules versioning replication encryption and access controls
Proficiency in IAM KMS Secrets Manager VPC security groups private endpoints CloudTrail CloudWatch AWS Config and GuardDuty
Experience with Terraform or CloudFormation and CICD tools such as AWS CodePipeline Jenkins GitHub Actions Azure DevOps or GitLab CICD
Proficiency in Python and Shell scripting for administration monitoring deployment and remediation automation
Strong SQL skills and familiarity with relational databases data modeling ETLELT patterns and data integration
Knowledge of observability log analytics ing backup disaster recovery patching and productionsupport practices
Understanding of cloud costmanagement practices tagging standards budgets usage analysis and rightsizing

Qualifications
Bachelors degree in Computer Science Information Technology Engineering or a related discipline
7 years of overall experience in cloud infrastructure data platform administration database administration or data engineering operations
At least 4 years of handson experience supporting AWS environments including production data and analytics workloads
Demonstrated experience operating highly available secure and scalable enterprise platforms
Strong troubleshooting rootcause analysis documentation communication and stakeholdermanagement skills
Ability to participate in oncall support and planned maintenance activities when required

Preferred Skills and Certifications
AWS Certified Solutions Architect Professional AWS Certified Data Engineer

Skills

Mandatory Skills : AWS EC2, AWS EKS, AWS Glue, AWS S3, AWS VPC
Good to Have Skills : AWS Cloud Architecture, AWS Lambda, Performance Monitoring- Cloud Native (Aws Cloud Watch, Azure Cloud Monitor) - Testing