Role overview

Job Overview:

Requirement/Must Have:

6+ years of experience in cloud engineering, backend development, or data engineering.
Strong hands-on experience with AWS services: Redshift, RDS, Lambda, SQS, SNS, ECS, Managed Airflow.
Proficiency in Python and/or TypeScript.
Deep understanding of SQL and relational databases.
Experience with event-driven architectures.
Solid knowledge of networking fundamentals.
Strong experience working in Linux/Unix environments.

Responsibilities:

Design, develop, and optimize data pipelines using Amazon Redshift, RDS, and DataSync/SFTP.
Build scalable ETL/ELT workflows using AWS Lambda and Managed Airflow (MWAA).
Ensure high availability, performance, and cost-efficiency of data platforms.
Develop and maintain event-driven architectures using Amazon SQS and SNS.
Implement scheduling and orchestration logic using AWS-native Schedulers.
Build containerized services deployed on Amazon ECS.
Design robust, scalable systems with strong emphasis on performance and fault tolerance.
Participate in system design and application architecture reviews.
Define best practices for service design, resilience, and observability.
Develop backend services and data workflows using Python and/or TypeScript.
Write clean, maintainable, and testable code.
Improve developer productivity through reusable components and frameworks.
Design and manage relational databases, focusing on transaction management, performance tuning and indexing, and data integrity and consistency.
Write efficient and optimized SQL queries.
Apply strong fundamentals in networking concepts (VPC, subnets, routing, security groups), cryptography and data protection.
Ensure compliance with security best practices and data governance standards.
Work in Unix/Linux environments for deployment, troubleshooting, and system tuning.
Monitor system performance and resolve production issues proactively.

Nice to Have:

Skills: