AWS Data Platform Engineer

Monitoring and Security AWS Data Platform Engineer

Experience: 5-8 years

Location: Hyderabad

Immediate Joiners preferred.

If you are Immediate joiner, Please share your resume to nsenthil.kumar@genpact.com 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 crossteam 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, CloudWatch, VPC, Serverless technologies, AWS Glue, DynamoDB, 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.
• Handson 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 DynamoDB.
• Familiarity with logging, monitoring, and observability tools such as Splunk, Cribl, and New Relic.
• Exposure modern data tools like Upsolver or Metabase.