AWS Cloud Data Platform Administrator

Key Responsibilities

• Administer and support AWS-based data platforms across development, testing, staging, and production environments.
• Manage AWS services including EC2, S3, Redshift, RDS/Aurora, Glue, EMR, Athena, Lake Formation, Kinesis, Lambda, DMS, Step Functions, and CloudWatch.
• Provision and configure cloud infrastructure using Terraform, AWS CloudFormation, or AWS CDK.
• Implement identity and access controls using IAM roles, policies, AWS Organizations, and service control policies.
• Monitor platform health, capacity, job execution, data pipelines, storage, and query performance.
• Handle incident, problem, change, release, and service-request management in line with SLAs and ITIL practices.
• Optimize Redshift clusters, Spark/EMR workloads, storage tiers, data transfers, and compute consumption.
• Implement backup, recovery, high availability, business continuity, and disaster recovery procedures.
• Secure data through encryption, key management, private networking, secrets management, logging, and least-privilege access.
• Support data governance, cataloguing, lineage, access auditing, retention, and lifecycle management.
• Develop automation using Python, Shell scripting, AWS CLI/SDKs, and CI/CD pipelines.
• Maintain runbooks, architecture diagrams, configuration records, SOPs, troubleshooting guides, and audit documentation.
• Collaborate with data engineers, architects, security teams, application teams, and FinOps teams on onboarding, migrations, upgrades, and capacity planning.
• Perform root-cause analysis, support production issues, and drive continuous improvement.

Required Technical Skills

• Strong hands-on AWS administration experience.
• Mandatory: AWS EC2, AWS Glue, AWS Lambda, and AWS S3.
• Experience with Amazon Redshift administration, workload management, query tuning, scaling, snapshots, and security.
• Knowledge of AWS Glue Data Catalog, crawlers, jobs, workflows, and Lake Formation permissions.
• Working knowledge of Apache Spark and Amazon EMR administration and performance tuning.
• Strong understanding of Amazon S3 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.
• Familiarity with CI/CD tools such as AWS CodePipeline, Jenkins, GitHub Actions, Azure DevOps, or GitLab CI/CD.
• Proficiency in Python and Shell scripting for administration and automation.
• Strong SQL skills and understanding of relational databases, data modelling, ETL/ELT, and data integration.
• Knowledge of monitoring, logging, backup, disaster recovery, patching, and production support.
• Understanding of cloud cost optimization, tagging, budgets, usage analysis, and rightsizing.

Qualifications and Experience

• Bachelor’s 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 hands-on AWS experience supporting production data and analytics workloads.
• Experience operating secure, scalable, and highly available enterprise platforms.
• Strong troubleshooting, root-cause analysis, documentation, and communication skills.
• Ability to participate in on-call support and planned maintenance activities when required.

Good to Have

• Familiarity with the AWS Well-Architected Tool.
• Experience with ITIL-based operational processes.
• Knowledge of cloud cost management and optimization practices.

Pay: ₹1,000,000.00 - ₹1,440,000.00 per year

Application Question(s):

• By applying, you agree that your resume and personal details may be stored securely for up to 2 years for recruitment purposes.

Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka