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Job Description & How to Apply Below
Experience:
5-8 years
Location:
Hyderabad
Immediate Joiners preferred.
If you are Immediate joiner, Please share your resume to with Sub of "AWS Platform Engineer" along with notice period.
In this role, you will be working as a Monitoring and Security AWS Data Platform Engineer, who must Implement, Perform, Provide Technical Support, Recommend Support, and Create Documentation.
Responsibilities
Design, develop, and maintain a highly scalable data platform on AWS, ensuring robust performance and reliability.
Write clean, efficient, and maintainable code to support data platform functionalities and automation needs.
Serve as a Subject Matter Expert (SME) for AWS tools, services, and best practices, guiding the team in optimal cloud usage.
Collaborate effectively with team members and leadership to deliver high-quality solutions and meet project objectives.
Maintain comprehensive technical documentation and ensure knowledge bases are regularly updated to support internal and cross‑team collaboration.
Provide mentorship and support to junior team members through active listening, guidance, and knowledge sharing.
Monitor and troubleshoot data pipelines, identifying and resolving issues related to data processing, data consistency, and performance bottlenecks.
Implement data ingestion workflows from diverse data sources, databases, and APIs into Amazon S3.
Develop applications, scripts, or automation processes for handling and processing data across AWS services.
Provision and manage cloud infrastructure using Terraform.
Work with and coordinate AWS services including Amazon ECS, Amazon RDS, IAM, Cloud Watch, VPC, Serverless technologies, AWS Glue, Dynamo
DB, EMR, and Amazon S3.
Qualifications we seek in you!
Minimum Qualifications
Bachelor's degree in computer science or related field.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities
Ability to work independently and as part of a team.
Strong communication and documentation skills
Preferred Qualifications / Skills
Strong proficiency in Python for building data processing scripts and automation.
Hands‑on experience with ETL frameworks for data ingestion, transformation, and pipeline development.
Working knowledge of Amazon Athena for querying data in S3.
Experience with Terraform for infrastructure provisioning and IaC (Infrastructure as Code).
Proficiency in Amazon S3 for storage management and data lake operations.
Experience building serverless data workflows using AWS services (e.g., Lambda).
Strong knowledge of AWS Glue for ETL development and orchestration.
Experience with Amazon RDS , Amazon ECS , AWS Step Functions , and Dynamo
DB .
Familiarity with logging, monitoring, and observability tools such as Splunk , Cribl , and New Relic .
Exposure modern data tools like Upsolver or Metabase .
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