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.

- Solid 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

📌 AWS Cloud Data Platform Administrator (Bengaluru)
🏢 Ananta Services
📍 Bengaluru