Essential :

Python, Shell Scripting, Autoscaling of containers, ECS, Docker, Lambda, Dynamodb, S3, Security (IAM), Github actions, Terraform, AWS Networking.

Key Responsibilities :

- Design, deploy, and manage infrastructure using Terraform and AWS CloudFormation following IaC best practices.

- Operate and optimise AWS services including S3, Glue, Redshift, DMS, AppFlow, Step Functions, Lambda, SNS, SQS, Airflow, ECS, and ECR.

- Support data engineers with platform-level requirements, incident resolution, access issues, and operational blockers.

- Drive FinOps initiatives: cost visibility, optimisation, right-sizing, and waste reduction across the data platform.

- Build PoCs and technical evaluations for modernisation initiatives.

Required Technical Skills :

- Strong hands-on experience with AWS data services: S3, Glue, Redshift, DMS, AppFlow, Athena (nice-to-have).

- Workflow orchestration using Apache Airflow and AWS Step Functions.

- Terraform and AWS CloudFormation (modular IaC, environments, state management).

- Git-based workflows using GitHub.

- Container platforms: ECS, ECR (knowledge preferred).

- Cost optimisation for Glue, Redshift, S3, data transfer, and orchestration services.

- Python (boto3, Glue jobs, automation).

- SQL (Redshift, Athena).

Nice to Have :

- Experience with Apache Iceberg / modern table formats.

- Data platform modernisation or large-scale migration experience.

- Multi-account AWS environments against this requirement.